[music-dsp] PhD Studentships (Marie Curie ESRs) in Sparse Methods for Audio Source Separation and Automatic Music Transcription
Dear List, A quick reminder that the deadline for applying for these Marie Curie Early Stage Researcher (PhD Studentship) positions is this Sunday (25 January 2015). Please forward to anyone who may be interested. Best wishes, Mark --- PhD Studentships (Marie Curie Early Stage Researchers) in Sparse Methods for Audio Source Separation and Automatic Music Transcription University of Surrey, UK Closing Date: Sunday 25 January 2015 Applications are invited to a number of Marie Curie Early Stage Researcher (ESR) positions as part of the new EU-funded Marie Curie Initial Training Network (ITN) SpaRTaN: Sparse Representations and Compressed Sensing Training Network. The SpaRTaN ITN (http://spartan-itn.eu/) will bring together leading academic and industry groups to train a new generation of interdisciplinary researchers in sparse representations and compressed sensing, with applications in areas such as hyperspectral imaging, audio signal processing and video analytics. Early Stage Researcher (ESR) positions allow the researcher to work towards a PhD, for a duration of 36 months. ESRs should be within four years of the diploma granting them access to doctorate studies at the time of recruitment, and must not have spent more than 12 months in the host country in the 3 years prior to starting. At the University Surrey, we are recruiting for two Marie Curie ESRs: one in Sparse Time-Frequency Methods for Audio Source Separation, and one in Automatic Music Transcription using Structured Sparse Dictionary Learning. Marie Curie ESRs are paid a competitive salary which is adjusted for their host country. For ESRs at the University of Surrey, the ESR salary including mobility allowance is equivalent to a gross salary of approximately GBP 36,087, or GBP 38,836 for ESRs with a family. More information at the links below: ESR Post 1: Marie Curie Early Stage Researcher in Sparse Time-Frequency Methods for Audio Source Separation (https://jobs.surrey.ac.uk/084014) ESR Post 2: Marie Curie Early Stage Researcher in Automatic Music Transcription using Structured Sparse Dictionary Learning (https://jobs.surrey.ac.uk/084314) Informal enquires are welcome and should be made to Dr Wenwu Wang (w.w...@surrey.ac.uk) or Prof Mark Plumbley (m.plumb...@surrey.ac.uk) More on the SpaRTaN ITN at: http://spartan-itn.eu/ Full list of Early Stage Researcher (ESR) Positions (recruiting early 2015): * ESR1 : Sparse Time-Frequency methods for Audio Source Separation - CVSSP, University of Surrey, United Kingdom * ESR2 : Automatic Music Transcription using Structured Sparse Dictionary Learning - CVSSP, University of Surrey, United Kingdom * ESR3 : Sparse Representations and Compressed Sensing - University of Edinburgh, United Kingdom * ESR4 : Task Based Dictionary Learning for Audio-Visual Tagging - LTS2, EPFL,Switzerland * ESR5 : 1-bit Compressive Imaging - LTS2, EPFL,Switzerland * ESR6 : Analysis Dictionary Learning Beyond Gaussian Denoising - Instituto de Telecomunicações, Portugal * ESR7 : Compressed Sensing for Hyperspectral Imaging - Instituto de Telecomunicações, Portugal * ESR8 : Large-scale signal processing - INRIA, France Experienced Researcher (ER) positions (recruiting later in 2015): * ER1 : Video Analytics for Large Camera Networks - VisioSafe, Switzerland * ER2 : Image and Video Restoration with Adaptive Transforms - Noiseless Imaging, Finland For further details of all ESR and ER positions, and how to apply, see http://spartan-itn.eu/#1 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk -- dupswapdrop -- the music-dsp mailing list and website: subscription info, FAQ, source code archive, list archive, book reviews, dsp links http://music.columbia.edu/cmc/music-dsp http://music.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Research Software Developer: Making Sense of Sounds
Dear List, Please forward the following job information to anyone who may be interested. Apologies for cross-posting. Research Software Developer: Making Sense of Sounds http://jobs.surrey.ac.uk/087015 Deadline: 17 January 2016 Additional information below. Many thanks, Mark Plumbley Research Software Developer on Making Sense of Sounds University of Surrey, Department of Electrical & Electronic Engineering Centre for Vision Speech and Signal Processing (CVSSP) Salary: GBP 30,738 to GBP 35,609 Closing Date: 17 January 2016 (midnight GMT) Reference: 087015 Applications are invited for a Research Software Developer to work full-time on an EPSRC-funded project "Making Sense of Sounds" for 33 months starting February 2016. This project will investigate how to make sense from sound data, focussing on how to convert sound recordings into understandable and actionable information, and specifically how to allow people to search, browse and interact with sounds. The candidate will be responsible for the development of research software in connection with research into new signal processing methods to analyse sound and audiovisual files and new interaction methods to search and browse through sets of sound files. The successful applicant is expected to have a Masters degree in Electronic Engineering, Computer Science or equivalent professional experience in a relevant discipline, at least 1 year's experience in software development relevant to audio or audio-visual signal processing, and experience in software development in topics such as: digital signal processing, machine learning, blind source separation, spatial audio, audio coding, speech processing, audio-visual signal processing, data visualisation, human computer interaction, and/or large scale data processing. Direct research experience in audio or audio-visual signal processing, or experience of software development with signal processing researchers is desirable, as is significant software development experience in Python, Matlab, and/or C/C++. The project will be led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey, in collaboration with the Digital World Research Centre (DWRC) at Surrey and the University of Salford. The postholder will be based in CVSSP and work under the direction of Prof Plumbley and Co-Investigators Dr Wenwu Wang and Dr Philip Jackson. CVSSP is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, medical imaging, and audio, and a grant portfolio of over £12M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. Informal enquires are welcome, to: Prof Mark Plumbley (m.plumb...@surrey.ac.uk), Dr Wenwu Wang (w.w...@surrey.ac.uk), or Dr Philip Jackson (p.jack...@surrey.ac.uk). Expected start date: As soon as possible Further Details: http://jobs.surrey.ac.uk/087015 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Two Research Fellows in Machine Listening / Semantic Audio-Visual Processing and Interaction
Dear Music-DSP people, Please forward the following postdoc opportunities to anyone who may be interested, esp anyone who may want to apply their music DSP skills to everyday sounds. Apologies for cross-posting. Post 1: Research Fellow in Machine Listening http://jobs.surrey.ac.uk/079715 Post 2: Research Fellow in Semantic Audio-Visual Processing and Interaction http://jobs.surrey.ac.uk/079415 Deadline: 13 December 2015 Additional information below. Many thanks, Mark Plumbley University of Surrey, Faculty of Engineering and Physical Sciences Centre for Vision Speech and Signal Processing (CVSSP) Salary: GBP 30,738 to GBP 35,609 Closing Date: Sunday 13 December 2015 Reference (Post 1): 079715; Reference (Post 2): 079415 Applications are invited for two Research Fellows to work full-time on an EPSRC-funded project "Making Sense of Sounds" for 33 months starting January 2016. This project will investigate how to make sense from sound data, focussing on how to convert sound recordings into understandable and actionable information, and specifically how to allow people to search, browse and interact with sounds. For Post 1 (Research Fellow in Machine Listening), the candidate will be responsible for investigating and developing machine learning methods for separation and analysis of everyday sounds, leading to new representations to support search, retrieval and interaction with sound. The successful applicant for Post 1 is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have significant research experience in audio signal processing. Research experience in one or more of: machine learning; blind source separation, blind de-reverberation, sparse and/or non-negative representations, deep learning, object-based audio representations, audio feature extraction, and/or large scale data processing is desirable. For Post 2 (Research Fellow in Semantic Audio-Visual Processing and Interaction), the candidate will be responsible for investigating how complementary and heterogeneous data modalities and interfaces will help analysis and interaction with sound-focussed data, including how visual information and context can assist exploration, identification and interpretation of audio events. The successful applicant for Post 2 is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have significant research experience in machine learning, machine translation, semantic audio and/or audio-visual perception. Research experience in one or more of: audio retrieval and labelling, audio tagging, sound summarization, active learning, audio-visual signal processing, human computer interaction, and/or spatial audio visualisation is desirable. The project will be led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey, in collaboration with the Digital World Research Centre (DWRC) at Surrey and the University of Salford. The postholders will be based in CVSSP and work under the direction of Prof Plumbley and Co-Investigators Dr Wenwu Wang and Dr Philip Jackson. CVSSP is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, medical imaging, and audio, and a grant portfolio of over £12M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. Informal enquires are welcome, to: Prof Mark Plumbley (m.plumb...@surrey.ac.uk), Dr Wenwu Wang (w.w...@surrey.ac.uk), or Dr Philip Jackson (p.jack...@surrey.ac.uk). Expected start date: As soon as possible Further Details: * Post 1: Research Fellow in Machine Listening - http://jobs.surrey.ac.uk/079715 * Post 2: Research Fellow in Semantic Audio-Visual Processing and Interaction - http://jobs.surrey.ac.uk/079415 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Job: Research Fellow in Perceptual Audio Evaluation (Deadline: 14 March 2017)
Dear Music-DSP people, Please feel free to forward the following job information to anyone who may be interested. Apologies for cross-posting. Best wishes, Mark Plumbley Research Fellow in Perceptual Audio Evaluation http://jobs.surrey.ac.uk/012217 University of Surrey, UK Salary: GBP 31,076 to GBP 38,183 per annum Closing Date: 14 March 2017 Reference: 012217 Applications are invited for a Research Fellow in Perceptual Audio Evaluation to work full-time on an EPSRC funded project "Musical Audio Repurposing using Source Separation" from 1 April 2017 to 31 January 2018. This project is tackling the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. The project is investigating new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation. The candidate will be responsible for perceptually evaluating the results of musical audio separation and repurposing. This will involve preparing and conducting subjective experiments, analysing the results, and comparing these with extant metrics and perceptual models. The candidate will make use of the resulting data to either refine or develop new metrics or perceptual models to aid the development and evaluation of musical source separation and repurposing algorithms. The successful applicant will have undertaken doctoral level research in experimental/applied psychoacoustics or similar and will have expertise in psychoacoustics, with an understanding of factors likely to be related to source separation and audio repurposing. Skills in and experience of the following are essential: the design and execution of listening-based subjective experiments; and statistical analysis and modeling. Also essential are strong writing skills for audiences of varying levels of technical expertise, and the ability to work independently and manage time effectively. A background in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage. Specific skills in source separation and audio repurposing and the development of related perceptual models will also be an advantage, as will academic publications in a relevant area. The project is led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP), and this post will be jointly supervised by Dr Russell Mason in the Institute of Sound Recording (IoSR). CVSSP is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, and audio, and a grant portfolio of over £12M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and video and audio capture facilities supporting research in real-time video and audio processing and visualisation. The IoSR is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room. Informal enquires are welcome, to: Dr Russell Mason (r.ma...@surrey.ac.uk) or Prof Mark Plumbley (m.plumb...@surrey.ac.uk). For more information on the job and how to apply, visit http://jobs.surrey.ac.uk/012217 -- Prof Mark D Plumbley Interim Head of Department of Computer Science Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey - Celebrating 50 years in Guildford Email (Head of Department matters): cs-...@list.surrey.ac.uk Email (Other matters): m.plumb...@surrey.ac.uk University of Surrey, Guildford, Surrey, GU2 7XH, UK ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Job: Research Fellow (Research Software Developer) in Musical Audio Repurposing using Source Separation
Dear Music DSP people, Please feel free to forward the following job information to anyone who may be interested. Apologies for cross-posting. Best wishes, Mark Plumbley Research Fellow (Research Software Developer) in Musical Audio Repurposing using Source Separation http://jobs.surrey.ac.uk/095616 University of Surrey, Centre for Vision Speech and Signal Processing (CVSSP) Salary: GBP 31,076 to GBP 38,183 per annum Closing Date: 31 January 2017 Reference: 095616 Applications are invited for a Research Fellow (Research Software Developer) to work full-time on an EPSRC funded project "Musical Audio Repurposing using Source Separation" from 1 March 2017 to 31 January 2018. This project is tackling the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. The project is investigating new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation. The candidate will be responsible for developing an extensible open-source research software framework, in conjunction with other researchers in the project. They will also develop user software and demonstrators for audio repurposing, such as upmixers for and remixers, and will work with a specialist app developer to create a demonstrator remixing app. The candidate will be working as part of a team, with two other researchers focussing on audio source separation and perceptual evaluation methods. The successful applicant is expected to have excellent mathematical and programming skills, as well as either a Masters degree in electronic engineering, computer science or related subject, or equivalent professional experience. They will have demonstrable experience in software development relevant to audio and music signal processing, in topics such as digital signal processing, acoustics, binaural audio, multichannel audio, audio coding, speech processing, and/or music information retrieval. Significant experience of development in both Python and Matlab as well as C/C++ is desirable. Research experience in audio signal processing or experience of working closely with audio signal processing researchers is also desirable. The project is led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP), and in collaboration with the Institute of Sound Recording (IoSR). CVSSP is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, and audio, and a grant portfolio of over £12M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and video and audio capture facilities supporting research in real-time video and audio processing and visualisation. The IoSR is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room. Informal enquires are welcome, to: Prof Mark Plumbley (m.plumb...@surrey.ac.uk). For more information and to apply online, visit http://jobs.surrey.ac.uk/095616 We acknowledge, understand and embrace diversity. -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey - Celebrating 50 years in Guildford Email: m.plumb...@surrey.ac.uk University of Surrey, Guildford, Surrey, GU2 7XH, UK ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] LVA/ICA 2018 Call for Papers - 14th International Conference on Latent Variable Analysis and Signal Separation
Dear List, The LVA/ICA conference below may be of interest to anyone working on e.g. audio source separation. Best wishes, Mark == LVA/ICA 2018 - CALL FOR PAPERS == 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018 University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 Paper submission deadline: January 15, 2018 The International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, is an interdisciplinary forum where researchers and practitioners can experience a broad range of exciting theories and applications involving signal processing, applied statistics, machine learning, linear and multilinear algebra, numerical analysis and optimization, and other areas targeting Latent Variable Analysis problems. We are pleased to invite you to submit research papers to the 14th LVA/ICA which will be held at the University of Surrey, Guildford, UK, from the 2nd to the 6th of July, 2018. The conference is organized by the Centre for Vision, Speech and Signal Processing (CVSSP); and the Institute of Sound Recording (IoSR). The proceedings will be published in Springer-Verlag's Lecture Notes in Computer Science (LNCS). == Keynote Speakers == - Orly Alter Scientific Computing & Imaging Institute and Huntsman Cancer Institute, University of Utah, USA - Andrzej Cichocki Brain Science Institute, RIKEN, Japan - Tuomas Virtanen Laboratory of Signal Processing Tampere University of Technology, Finland == Topics == Prospective authors are invited to submit original papers (8-10 pages in LNCS format) in areas related to latent variable analysis, independent component analysis and signal separation, including but not limited to: - Theory: * sparse coding, dictionary learning * statistical and probabilistic modeling * detection, estimation and performance criteria and bounds * causality measures * learning theory * convex/nonconvex optimization tools * sketching and censoring for large scale data - Models: * general linear or nonlinear models of signals and data * discrete, continuous, flat, or hierarchical models * multilinear models * time-varying, instantaneous, convolutive, noiseless, noisy, over-complete, or under-complete mixtures * Low-rank models, graph models, online models - Algorithms: * estimation, separation, identification, detection, blind and semi-blind methods, non-negative matrix factorization, tensor decomposition, adaptive and recursive estimation * feature selection * time-frequency and wavelet based analysis * complexity analysis * Non-conventional signals (e.g. graph signals, quantum sources) - Applications: * speech and audio separation, recognition, dereverberation and denoising * auditory scene analysis * image segmentation, separation, fusion, classification, texture analysis * biomedical signal analysis, imaging, genomic data analysis, brain-computer interface - Emerging related topics: * sparse learning * deep learning * social networks * data mining * artificial intelligence * objective and subjective performance evaluation == Venue == LVA/ICA 2018 will be held at the University of Surrey, Guildford, in the South East of England, UK. The university is a ten minute walk away from the town centre, which offers a vibrant blend of entertainment, culture and history. Guildford is 40 minutes from London by train, and convenient for both London Heathrow and London Gatwick airports. == Conference Chairs == - General Chairs: Mark Plumbley - University of Surrey, UK Russell Mason - University of Surrey, UK - Program Chairs Sharon Gannot - Bar-Ilan University, Israel Yannick Deville - Université Paul Sabatier Toulouse 3, France == Important Dates == - Paper submission deadline: January 15, 2018 - Notification of acceptance: March 19, 2018 - Camera ready submission: April 16, 2018 - Summer School: July 2, 2018 - Conference: July 3-6, 2018 == Website == For further information and information on how to submit, please visit: http://cvssp.org/events/lva-ica-2018 We look forward to your participation, The LVA/ICA 2018 Organizing Committee Email: lva.ica.2...@gmail.com === -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 Paper submission deadline: January 15, 2018
[music-dsp] LVA/ICA 2018, July 2-6: Call for Participation: 14th International Conference on Latent Variable Analysis and Signal Separation
Dear Music DSP list, We are happy to announce that the program for the 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018) is now available at: http://cvssp.org/events/lva-ica-2018/program/ LVA/ICA 2018 will be the held at the University of Surrey, Guildford, UK from July 2-6, 2018, and includes a number of papers related to music signal processing, e.g. on music and audio source separation. The programme features a wide range of oral and poster presentations on topics related to latent variable analysis and source separation, including Matrix and Tensor Factorizations, Deep Learning and Data-driven Methods, ICA Methods, Nonlinear Mixtures, Sparsity-Related Methods, Bayesian Approaches, Audio Data and Methods, and Biomedical Data and Methods. We are looking forward to inspiring keynote talks from Tuomas Virtanen (Laboratory of Signal Processing, Tampere University of Technology, Finland), Orly Alter (Scientific Computing & Imaging Institute/Huntsman Cancer Institute, University of Utah, USA) and Andrzej Cichocki (Brain Science Institute, Riken, Japan). The conference will also feature special sessions on Structured Tensor Decompositions and Applications, and Advances in Phase Retrieval and Applications, plus the results of the SiSEC 2018 Signal Separation Evaluation Campaign. The conference will be preceded by a 1-day Summer School with tutorials by Evrim Acar (Simula Research Laboratory, Lysaker, Norway) on Tensor Factorizations, Data Fusion & Applications, and Richard Turner (Computational & Biological Learning Lab, University of Cambridge, UK) on Bayesian Inference and Deep Learning, and from Russell Mason, Ryan Chungeun Kim and Dominic Ward on Evaluation of Musical Audio Source Separation. For interested delegates, the conference is followed by an Audio Day, featuring talks, posters and demos on audio-related projects. For information on how to register and accommodation options, see http://cvssp.org/events/lva-ica-2018/registration/ Early registration is available until 31 May 2018. We look forward to welcoming you to Surrey! Best wishes, Mark Plumbley Co-Chair, LVA/ICA 2018 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] LVA/ICA 2018: Call for Late-Breaking Posters & Demos: Deadline 23 May
Dear Music DSP people, We are pleased to invite you to submit an extended abstract to support a late-breaking poster presentation or demonstration at LVA/ICA 2018, the 14th International Conference on Latent Variable Analysis and Signal Separation, Guildford, UK, 2-6 July 2018. Late-breaking posters/demonstrations are a new feature of LVA/ICA 2018. Extended abstracts may provide an overview of prototype systems, initial concepts, and early results that may be of interest to the latent variable analysis and signal separation community. If you would like to present your work as a poster or give a demo at the conference, please submit an extended abstract as a PDF (2 pages maximum) directly to lva.ica.2...@gmail.com by 23 May for a rapid peer-review. Accepted abstracts will be not be included in the LVA/ICA 2018 proceedings, but will be made freely available via the conference website. For further details, including submission templates, see: http://cvssp.org/events/lva-ica-2018/late_breaking/ Best wishes, Mark Plumbley Co-Chair, LVA/ICA 2018 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] LVA/ICA 2018, July 2-6: Early registration closing soon (31 May 2018)
Dear Music DSP list, *** LVA/ICA 2018 Early Registration closing soon: 31 May 2018 *** *** Register at: http://cvssp.org/events/lva-ica-2018/registration/ *** Early registration for the LVA/ICA 2018, the 14th International Conference on Latent Variable Analysis and Signal Separation, will be closing soon, on 31 May 2018. Don't miss out! LVA/ICA 2018 (http://cvssp.org/events/lva-ica-2018/) will be the held at the University of Surrey, Guildford, UK from July 2-6, 2018. The programme features a wide range of oral and poster presentations on topics related to latent variable analysis and source separation, including Matrix and Tensor Factorizations, Deep Learning and Data-driven Methods, ICA Methods, Nonlinear Mixtures, Sparsity-Related Methods, Bayesian Approaches, Audio Data and Methods, and Biomedical Data and Methods. We are looking forward to inspiring keynote talks from Tuomas Virtanen (Laboratory of Signal Processing, Tampere University of Technology, Finland), Orly Alter (Scientific Computing & Imaging Institute/Huntsman Cancer Institute, University of Utah, USA) and Danilo Mandic (Imperial College London, UK). The conference will also feature the results of the SiSEC 2018 Signal Separation Evaluation Campaign. The conference will be preceded by a 1-day Summer School with tutorials by Evrim Acar (Simula Research Laboratory, Lysaker, Norway) on Tensor Factorizations, Data Fusion & Applications, and Richard Turner (Computational & Biological Learning Lab, University of Cambridge, UK) on Bayesian Inference and Deep Learning, and from Russell Mason, Ryan Chungeun Kim and Dominic Ward on Evaluation of Musical Audio Source Separation. For interested delegates, the conference is followed by an Audio Day, featuring talks, posters and demos on audio-related projects. For information on how to register and accommodation options, see http://cvssp.org/events/lva-ica-2018/registration/ Early registration prices are available until 31 May 2018. We look forward to welcoming you to Surrey! Best wishes, Mark Plumbley Co-Chair, LVA/ICA 2018 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Call for Papers: DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and Events, 19-20 Nov 2018 [Submission: 31 July]
Dear Music DSP people, The DCASE workshop below may be of interest to anyone also working on analysis of non-musical sounds. Please feel free to forward to any colleagues who may be interested. Best wishes, Mark Plumbley --- DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and Events 19-20 November 2018, Woking, Surrey, UK ** Paper submission: 31 July 2018 ** http://dcase.community/workshop2018/ DCASE 2018 Workshop is the third workshop on Detection and Classification of Acoustic Scenes and Events, being organized for the third time in conjunction with the DCASE challenge. We aim to bring together researchers from many different universities and companies with interest in the topic, and provide the opportunity for scientific exchange of ideas and opinions. The technical program will include invited speakers on the topic of computational everyday sound analysis and recognition, and oral and poster presentations of accepted papers. In addition, a special poster session will be dedicated to the DCASE 2018 challenge entries. The results of the Detection and Classification of Acoustic Scenes and Events (DCASE) challenge 2018 will also be announced at the workshop. ** Call for papers ** We invite submissions on the topics of computational analysis of acoustic scenes and sound events, including but not limited to: Tasks in computational environmental audio analysis - Acoustic scene classification - Sound event detection and localization - Audio tagging - Challenges in real-life applications (e.g., rare events, overlapping sound events, weak labels) Methods for computational environmental audio analysis - Signal processing methods - Machine learning methods - Auditory-motivated methods - Cross-disciplinary methods involving, e.g., acoustics, biology, psychology, geography, materials science, transports science Resources, applications, and evaluation of computational environmental audio analysis - Publicly available datasets or software, taxonomies and ontologies, evaluation procedures - Ethics, privacy, responsible research - Applications - Description of systems submitted to the DCASE 2018 Challenge ** Submission ** Papers are to be formatted as 4+1 pages. Papers are maximum 5 pages, including all text, figures, and references, with the 5th page containing only references. Paper templates and the submission system will be available in early July 2018. ** Venue ** WWF Living Planet Centre, Woking, Surrey, UK ** Important dates: Paper submission: 31 July 2018 Notification of acceptance: 17 Sept 2018 Workshop: 19-20 November 2018 ** More information http://dcase.community/workshop2018/ dcase.works...@gmail.com == -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk DCASE 2018 - Detection and Classification of Acoustic Scenes and Events Challenge: 30 March - 31 July 2018 Workshop: 19 - 20 November 2018, Surrey, UK Paper submission deadline: 31 July 2018 http://dcase.community/workshop2018/ http://dcase.community/challenge2018/ ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Research Fellow in Audio Signal Processing (deadline: 5 Feb 2018)
Dear Music DSP people, Please forward the job opportunity below to anyone who may be interested... deadline approaching! Many thanks, Mark - Research Fellow in Audio Signal Processing University of Surrey, UK Salary: GBP 30,688 to GBP 36,613 per annum Closing Date: 05 February 2018 (23:59 GMT) https://jobs.surrey.ac.uk/000918 Applications are invited for a six month Research Fellow position available at Centre for Vision Speech and Signal Processing, University of Surrey, to work on a project entitled "Audio Commons", funded by the European Union. This project is being undertaken by a unique consortium of academic and industrial experts from the University of Surrey, Universitat Pompeu Fabra, Queen Mary University of London, Jamendo SA, AudioGaming, and Waves Audio Ltd. You will be expected to work in CVSSP, responsible for developing signal processing algorithms for feature extraction associated with non-musical (e.g. timbral) properties of audio signals. In particular, you will be looking into methods for improving reverberation time estimation from recorded audio, and identifying better methods to distinguish between the direct and reverberant portions of stimulus, e.g. by considering a combination of level changes, continuity of partials, spectral homogeneity and autocorrelation. Other measures, other than reverberation times, such as reverberation level, may also be considered. These features will then be integrated with timbral models, developed by Institute of Sound Recording (IoSR) at University of Surrey, to further improve its predictability of non-musical properties of audio. These methods will be perceptually evaluated and validated using stimuli and listening tests, in collaboration with IoSR. The successful applicant is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have research experience in audio signal processing and machine learning. Research experience in one or more of the following is desirable: audio signal processing, audio feature extraction, room acoustics, and reverberation time estimation. Experience in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage, as will academic publications in a relevant area. The project is led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP), and this post will be jointly supervised by Dr Wenwu Wang in CVSSP. CVSSP is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, and audio, and a grant portfolio of over £12M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and video and audio capture facilities supporting research in real-time video and audio processing and visualisation. The IoSR is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room. Informal enquires are welcome, to: Prof Mark Plumbley (m.plumb...@surrey.ac.uk) or Dr Wenwu Wang (w.w...@surrey.ac.uk). This is a six month fixed term position currently ending in July 2018. For more information and to apply online, please visit: https://jobs.surrey.ac.uk/000918 We acknowledge, understand and embrace diversity. -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 Paper submission deadline: February 4, 2018 (Full paper upload by February 7) ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Making Sense of Sounds Data Challenge
Dear Music-DSP list, We hereby announce the "Making Sense of Sounds" (MSoS) Challenge: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/ The task in the MSoS Challenge is to classify audio files as belonging to one of five broad categories derived from human classification experiments: Nature, Human, Music, Effects, or Urban. The MSoS Challenge has a development dataset of 1500 five-second audio files. Performance will be judged using an evaluation dataset of 500 audio files. The results of the MSoS Challenge will be announced at the DCASE 2018 Workshop: http://dcase.community/workshop2018/ For more information about the challenge and how to take part, see: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/ Important dates: Challenge announcement and development data set release: 8 Aug 2018 Evaluation data set release: 1 Oct 2018 Submission open: 1 Oct 2018 Submission deadline: 30 Oct 2018 Results announced: 19/20 Nov 2018 (at DCASE 2018 Workshop) Contact: msos.challe...@gmail.com We look forward to your submission! Oliver Bones On behalf of the MSoS Challenge organizers Additional information: Humans (with no hearing impairment) use sound in everyday life constantly to interpret their surrounding environment, refocus their attention, detect anomalies and communicate through language and vocal emotional expressions. They are able to identify a large number of sounds, e.g., the call of a bird, the noise of an engine, the cry of a baby, the sound of a string instrument. They are also capable of generalising from past experience to new sounds, e.g. recognising a dulcimer or a kora as a musical instrument despite having never heard this instrument before in their life. The MSoS data challenge calls for machine systems to attempt to replicate this human ability. The task is to classify audio data as belonging to one of five broad categories, which were derived from human classification. In a psychological experiment at the University of Salford, participants were asked to categorise 60 sound types, chosen so as to represent the most commonly used search terms on Freesound.org. Five principal categories were identified by correspondence analysis and hierarchical cluster analysis of the human data: Nature Human Music Effects Urban Within each class the data for the task consists of varying sound types, e.g., different animals in the 'Nature' category or different instruments in the 'Music' category such as 'guitar' and 'mandolin'. Most of the sound types are represented by several instances themselves, coming from different recordings, e.g. different guitars. The machine classifier is therefore forced to reproduce a human capability to be successful: Humans are able to identify a hitherto unheard animal sound as belonging to an animal based upon previously established schemas, and a hitherto unheard musical instrument as a musical instrument, etc. Full details can be found on the MSoS website: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/ -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk = DCASE 2018 - Detection and Classification of Acoustic Scenes and Events Challenge: 30 March - 31 July 2018 Workshop: 19 - 20 November 2018, Surrey, UK http://dcase.community/workshop2018/ http://dcase.community/challenge2018/ = ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] CfP: DCASE 2018 Workshop, 19-20 Nov 2018 - Submission Deadline: 31 July
Dear Music DSP people, The submission system for the DCASE 2018 Workshop is open until 31 July. Please feel free to forward to anyone who may be interested. Best wishes, Mark Plumbley --- DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and Events 19-20 November 2018, Woking, Surrey, UK ** Paper submission: 31 July 2018 ** http://dcase.community/workshop2018/ DCASE 2018 Workshop is the third workshop on Detection and Classification of Acoustic Scenes and Events, being organized for the third time in conjunction with the DCASE challenge. We aim to bring together researchers from many different universities and companies with interest in the topic, and provide the opportunity for scientific exchange of ideas and opinions. The technical program will include invited speakers on the topic of computational everyday sound analysis and recognition, and oral and poster presentations of accepted papers. In addition, a special poster session will be dedicated to the DCASE 2018 challenge entries. The results of the Detection and Classification of Acoustic Scenes and Events (DCASE) challenge 2018 will also be announced at the workshop. ** Call for papers ** We invite submissions on the topics of computational analysis of acoustic scenes and sound events, including but not limited to: Tasks in computational environmental audio analysis - Acoustic scene classification - Sound event detection and localization - Audio tagging - Challenges in real-life applications (e.g., rare events, overlapping sound events, weak labels) Methods for computational environmental audio analysis - Signal processing methods - Machine learning methods - Auditory-motivated methods - Cross-disciplinary methods involving, e.g., acoustics, biology, psychology, geography, materials science, transports science Resources, applications, and evaluation of computational environmental audio analysis - Publicly available datasets or software, taxonomies and ontologies, evaluation procedures - Ethics, privacy, responsible research - Applications - Description of systems submitted to the DCASE 2018 Challenge ** Submission ** Papers are to be formatted as 4+1 pages. Papers are maximum 5 pages, including all text, figures, and references, with the 5th page containing only references. For paper templates and instructions on how to submit, see http://dcase.community/workshop2018/author-instructions and http://dcase.community/workshop2018/submission ** Venue ** WWF Living Planet Centre, Woking, Surrey, UK ** Important dates: Paper submission: 31 July 2018 Notification of acceptance: 17 Sept 2018 Workshop: 19-20 November 2018 ** Chairs General Chairs Mark Plumbley, University of Surrey, UK Christian Kroos, University of Surrey, UK Program Chairs Gaël Richard, Télécom ParisTech, France Juan Pablo Bello, New York University, USA ** More information http://dcase.community/workshop2018/ dcase.works...@gmail.com == -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Research Fellows in Audio Source Separation and Perceptual Audio Evaluation (deadline: 24 Jan 2018)
Dear Music DSP people, Please forward the job opportunities below to anyone who may be interested... deadline approaching! Many thanks, Mark Research Fellows in Audio Source Separation and Perceptual Audio Evaluation University of Surrey, UK Salary: GBP 30,688 to GBP 38,833 per annum Closing Date: 24 January 2018 (23:59 GMT) Applications are invited for two Research Fellow posts: (a) Research Fellow in Source Separation for Musical Audio Repurposing https://jobs.surrey.ac.uk/107017 (b) Research Fellow in Perceptual Audio Evaluation https://jobs.surrey.ac.uk/107117 These are to work full-time on an EPSRC funded project "Musical Audio Repurposing using Source Separation" (https://cvssp.github.io/maruss-website/) from 1 February 2018 to 31 July 2018. This project is tackling the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. The project is investigating new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation. For the Research Fellow in Source Separation for Musical Audio Repurposing: The candidate will be responsible for investigating and developing new and enhanced methods for high quality musical audio source separation. These may include methods based on deep learning, score-informed musical source separation, non-negative matrix factorisation (NMF), and interactive methods employing user feedback. The candidate will be working as part of a team, with other researchers focussing on perceptual evaluation methods and software development of open-source research tools. The successful applicant is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have research experience in audio signal processing and machine learning. Research experience in one or more of the following is desirable: audio source separation, audio upmixing, musical audio processing, non-negative matrix factorization (NMF) and/or deep learning. Experience in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage, as will academic publications in a relevant area. For Research Fellow in Perceptual Audio Evaluation: The candidate will be responsible for perceptually evaluating the results of musical audio separation and repurposing. This will involve preparing and conducting subjective experiments, analysing the results, and comparing these with extant metrics and perceptual models. The candidate will make use of the resulting data to either refine or develop new metrics or perceptual models to aid the development and evaluation of musical source separation and repurposing algorithms. The successful applicant will have undertaken doctoral level research in experimental/applied psychoacoustics or similar and will have expertise in psychoacoustics, with an understanding of factors likely to be related to source separation and audio repurposing. Skills in and experience of the following are essential: the design and execution of listening-based subjective experiments; and statistical analysis and modeling. Also essential are strong writing skills for audiences of varying levels of technical expertise, and the ability to work independently and manage time effectively. A background in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage. Specific skills in source separation and audio repurposing and the development of related perceptual models will also be an advantage, as will academic publications in a relevant area. The project is led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP), and this posts will be jointly supervised by Dr Russell Mason in the Institute of Sound Recording (IoSR). CVSSP (https://www.surrey.ac.uk/cvssp) is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, and audio, and a grant portfolio of over £12M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and video and audio capture facilities supporting research in real-time video and audio processing and visualisation. The IoSR (http://iosr.surrey.ac.uk/) is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room. Informal enquires are welcome, to: Prof Mark Plumbley (m.plumb...@surrey.ac.uk) or Dr Russell Mason (r.ma...@surrey.ac.uk). For more information
[music-dsp] [LVA/ICA 2018] Call for Participation (+ University accommodation deadline approaching)
Dear Music DSP people, Registration is open for LVA/ICA 2018: more information below (including approaching deadline for University special-rate accommodation). Best wishes, Mark = == LVA/ICA 2018 - FIRST CALL FOR PARTICIPATION == 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018 University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ** Registration now open. Early registration deadline: 31 May 2018 ** University accommodation deadline approaching: 12 April 2018 = The International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, is an interdisciplinary forum where researchers and practitioners can experience a broad range of exciting theories and applications involving signal processing, applied statistics, machine learning, linear and multilinear algebra, numerical analysis and optimization, and other areas targeting Latent Variable Analysis problems. == Registration - http://cvssp.org/events/lva-ica-2018/registration/ Conference registration is now open. Early registration deadline: 31 May 2018 == Accommodation - http://cvssp.org/events/lva-ica-2018/accommodation/ We have secured a number of guaranteed rooms for delegates at the University of Surrey Manor Park Campus. You can select the dates of stay during the registration process. ** University accommodation booking deadline approaching - 12 April 2018 If you missed the deadline for booking accommodation but would like to stay on campus, please email our Conference Team (fasseve...@surrey.ac.uk) confirming your name, registration booking reference and the nights stay required. Our team will check availability of additional rooms for you. == Programme Overview - http://cvssp.org/events/lva-ica-2018/program/ LVA/ICA will be held from the 2nd to the 6th of July 2018, including a Summer School day (2 July), and the Main Conference (3-5 July), and is followed by an Audio Day (6 July). The programme will include oral and poster papers in topics including: Audio Data and Methods; Bayesian Approaches; Biomedical Data and Methods; Deep Learning and Data-driven Methods; ICA Theory and Methods; Matrix and Tensor Factorizations; Nonlinear Mixtures; and Sparsity-Related Methods. There will be special sessions on Advances in Phase Retrieval & Applications and on Tensor Decompositions, and the programme will include the results of the Signal Separation Evaluation Campaign (SiSEC 2018). For the list of accepted papers, see: http://cvssp.org/events/lva-ica-2018/papers/ == Keynote Speakers - http://cvssp.org/events/lva-ica-2018/keynotes/ - Tuomas Virtanen Laboratory of Signal Processing Tampere University of Technology, Finland - Orly Alter Scientific Computing & Imaging Institute and Huntsman Cancer Institute, University of Utah, USA - Andrzej Cichocki Brain Science Institute, RIKEN, Japan == Venue - http://cvssp.org/events/lva-ica-2018/venue/ LVA/ICA 2018 will be held at the University of Surrey, Guildford, in the South East of England, UK. The university is a ten minute walk away from the town centre, which offers a vibrant blend of entertainment, culture and history. Guildford is 40 minutes from London by train, and convenient for both London Heathrow and London Gatwick airports. == Conference Chairs == - General Chairs Mark Plumbley - University of Surrey, UK Russell Mason - University of Surrey, UK - Program Chairs Sharon Gannot - Bar-Ilan University, Israel Yannick Deville - Université Paul Sabatier Toulouse 3, France == Important Dates == - University accommodation deadline: April 12, 2018 - Early registration deadline: May 31, 2018 - Summer School: July 2, 2018 - Main Conference: July 3-5, 2018 - Audio Day: July 6, 2018 == Website == For further information about the conference and on how to register, please visit: http://cvssp.org/events/lva-ica-2018 We look forward to your participation, The LVA/ICA 2018 Organizing Committee Email: lva.ica.2...@gmail.com === -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Job: Research Fellow in Machine Listening - University of Surrey, UK - Deadline: 1 May 2018
Dear Music DSP people, Please forward to anyone who may be interested. I will be at ICASSP in Calgary next week in case anyone would like more details (including chairing Session AASP-L6, Thursday, April 19, 13:30-15:30 in Macleod B). Best wishes, Mark Plumbley === Research Fellow in Machine Listening University of Surrey, UK Salary: GBP 30,688 to GBP 38,833 per annum Closing Date: 1 May 2018 (23:00 BST) https://jobs.surrey.ac.uk/021518 Applications are invited for a Research Fellow in Machine Listening to work full-time on an EPSRC-funded project "Making Sense of Sounds", to start as soon as possible, for 9.75 months until 13 March 2019. This project is investigating how to make sense from sound data, focussing on how to allow people to search, browse and interact with sounds. The candidate will be responsible for investigating and developing machine learning methods for analysis of everyday sounds, leading to new representations to support search, retrieval and interaction with sound. The successful applicant is expected to have a PhD or equivalent in electronic engineering, computer science or a related subject, and is expected to have significant research experience in audio signal processing and machine learning. Research experience in one or more of the following is desirable: deep learning; blind source separation, blind de-reverberation, sparse and/or non-negative representations, audio feature extraction. The project is being led by Prof Mark Plumbley in the Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey, in collaboration with the Digital World Research Centre (DWRC) at Surrey, and the University of Salford. The postholder will be based in CVSSP and work under the direction of Prof Plumbley and Co-Investigators Dr Wenwu Wang and Dr Philip Jackson. For more about the project see: http://cvssp.org/projects/making_sense_of_sounds/ CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 125 researchers, a grant portfolio of £20M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio. Audio-visual compute includes 700 cores and a 50GPU machine learning cluster with 500TB of online storage. Informal enquires are welcome, to: Prof Mark Plumbley (m.plumb...@surrey.ac.uk), Dr Wenwu Wang (w.w...@surrey.ac.uk), or Dr Philip Jackson (p.jack...@surrey.ac.uk). For more information and to apply online, please visit: https://jobs.surrey.ac.uk/021518 We acknowledge, understand and embrace diversity. === -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Making Sense of Sounds Data Challenge: Deadline extended to 5 Nov 2018
Dear Music DSP people, Following a number of requests during this busy period, the submission deadline for the "Making Sense of Sounds" (MSoS) Data Challenge has been extended: ** Submission deadline (Extended): 5 November 2018 ** For more information about the challenge and how to submit, see: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/ Important dates: * Submission deadline: ** 5 Nov 2018 (Extended) ** * Results announced: 19/20 Nov 2018 (at DCASE 2018 Workshop) The MSoS Challenge is jointly organized by University of Salford and University of Surrey. Contact: msos.challe...@gmail.com We look forward to your submission! Mark Plumbley On behalf of the MSoS Challenge organisers -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk === DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and Events 19 - 20 November 2018, Surrey, UK http://dcase.community/workshop2018/ === ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Making Sense of Sounds Data Challenge deadline soon: 30 Oct 2018
Dear Music DSP people, The submission deadline for the "Making Sense of Sounds" (MSoS) Data Challenge (http://cvssp.org/projects/making_sense_of_sounds/site/challenge/) is fast approaching: ** Submission deadline: 30 October 2018 ** Direct links: * Development & Evaluation data: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/#download * Submission system: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/#submission_opened We have also provided a deep learning baseline: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/#baseline The task in the MSoS Challenge is to classify audio files as belonging to one of five broad categories derived from human classification experiments: Nature, Human, Music, Effects, or Urban. We call for machine systems to attempt to replicate this human ability of category generalisation. The MSoS Challenge is jointly organized by University of Salford and University of Surrey. The results of the MSoS Challenge will be announced at the DCASE 2018 Workshop: http://dcase.community/workshop2018/ For more information about the challenge and how to take part, see: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/ Important dates: * Submission deadline: 30 Oct 2018 * Results announced: 19/20 Nov 2018 (at DCASE 2018 Workshop) Contact: msos.challe...@gmail.com We look forward to your submission! Mark Plumbley On behalf of the MSoS Challenge organisers -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk === DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and Events 19 - 20 November 2018, Surrey, UK http://dcase.community/workshop2018/ === ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
[music-dsp] Deadline Approaching [Mon 3 Dec]: PhD Studentships for Machine Audition at University of Surrey
PhD Studentships for Machine Audition at University of Surrey ** Deadline approaching to apply for PhD programme (Stage 1): 12:00 noon GMT Monday 3 December 2018 ** The University of Surrey currently has opportunities for Vice-Chancellor's Studentships and Doctoral College Studentships, suitable to support PhD study in Machine Audition in the Centre for Vision, Speech and Signal Processing (CVSSP). Note: this is a 2-stage process. To be eligible for these studentships, you must FIRST apply for a place on a PhD programme by 12:00 midday GMT, Monday 3 December 2018 (Stage 1). You then apply for the Studentship Award itself by 11 January 2019 (Stage 2). ** Research in Machine Audition at the University of Surrey In the A-Lab in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, we undertake research into technologies for sound-related machine perception, augmentation and reproduction of sound scenes. Our current activities include research into spatial audio production and reproduction; audio source separation, localisation and tracking; detection and classification of audio scenes and events; and audio-visual speech processing. Other areas for future research will include areas such as object-based audio; analysis of large-scale datasets; and audio-visual sensing, combining audio and visual perception. For more details about staff interests in Machine Audition, see individual pages at: * Dr Philip Jackson https://www.surrey.ac.uk/people/philip-jackson * Prof Mark Plumbley https://www.surrey.ac.uk/people/mark-plumbley * Dr Wenwu Wang https://www.surrey.ac.uk/people/wenwu-wang Deadline to submit an application for a place on a postgraduate research course is 12:00 GMT on Monday 3 December 2018. ** How to apply for these PhD Studentships (1) Find out more about Machine Audition and the A-Lab at https://www.surrey.ac.uk/centre-vision-speech-signal-processing/research/a-lab-machine-audition, and PhD study in CVSSP at https://www.surrey.ac.uk/centre-vision-speech-signal-processing/phd-study (2) Apply for "Vision, Speech and Signal Processing PhD" at https://www.surrey.ac.uk/postgraduate/vision-speech-and-signal-processing-phd [By 12:00 noon GMT Monday 3 December 2018] On your application, indicate that you are applying for the Vice-Chancellor's Studentship Award (international students) or the Doctoral College Studentship Award (DCSA3) (UK and European students). ** IMPORTANT: To be eligible for a Vice-Chancellor's Studentship or Doctoral College Studentship, you MUST submit your application to the PhD programme by 12:00 noon GMT Monday 3 December 2018. (If you are not able to include all documents requested, submit your application with what documentation you have. Any applications submitted after 12:00 noon GMT Monday 3 December 2018 will not be eligible to apply for the studentships at Stage 2.) (3) Complete the application for Vice-Chancellor's Studentship Award or Doctoral College Studentship Award [by 12:00 noon GMT Friday 11 January 2019] For more information about the studentships see: * Vice-Chancellor's Studentship Award (for international students): https://www.surrey.ac.uk/fees-and-funding/studentships/vice-chancellors-studentship-award-2019-entry * Doctoral College Studentship Award (for UK and European students): https://www.surrey.ac.uk/fees-and-funding/studentships/doctoral-college-studentship-award-2019-entry -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumb...@surrey.ac.uk ___ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
