message from Simon King <simon.k...@ed.ac.uk> to festival-talk = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = Please circulate:
--- 1. Two Postdoctoral Research Associates in Speech Technology The School of Informatics, University of Edinburgh invites applications for two Postdoctoral Research Associates in Speech Technology supported by the EPSRC Programme Grant Natural Speech Technology (NST,http://www.natural-speech-technology.org/) and the EU Integrated Project EU-Bridge (http://www.eu-bridge.eu). NST is a collaboration between the Universities of Edinburgh, Cambridge, and Sheffield, whose objective is to significantly advance the state-of-the-art in speech technology by making it more natural, approaching human levels of reliability, adaptability and conversational richness. EU-Bridge is a large scale European collaboration which aims to develop automatic transcription and translation technology to permit the development of innovative multimedia captioning and translation services of audiovisual documents between European and non-European languages. The successful candidates should have or be near completion a PhD in speech processing, computer science, linguistics, engineering, mathematics, or a related discipline. They must have a background in statistical modelling and machine learning, research experience in speech recognition and/or speech synthesis, excellent programming skills, and research publications in international journals or conferences. Experience in acoustic modelling or language modelling for speech recognition or speech synthesis is essential. A background in one or more of the following areas is also desirable: multilingual speech recognition; subspace Gaussian mixture models; adaptation techniques for acoustic or language modelling; experience of the design, construction and evaluation of speech recognition or speech synthesis systems; distant speech recognition; deep neural networks; and familiarity with software tools including HTK, Kaldi, HTS, or Festival. http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3015397 --- 2. Senior Researcher in Speech Technology The School of Informatics, University of Edinburgh invites applications for the post of Senior Researcher in Speech Technology on the EPSRC programme grant Natural Speech Technology (NST, http://www.natural-speech-technology.org/). NST is a collaboration between the Universities of Edinburgh, Cambridge, and Sheffield, whose objective is to significantly advance the state-of-the-art in speech technology by making it more natural, approaching human levels of reliability, adaptability and conversational richness. You should have a PhD (or equivalent experience) in speech processing, computer science, linguistics, engineering, mathematics, or a related discipline. You must have a background in statistical modelling and machine learning, research experience in speech recognition and/or speech synthesis, excellent programming skills, and a strong publications record in international journals and conferences. In addition, experience of project development and project leadership in a research context, together with excellent communication, presentation, and organisational skills are highly desirable. You will be part of the Centre for Speech Technology Research (CSTR), leading work on novel statistical modelling and machine learning for speech technology. We are interested in research on either large vocabulary conversational speech recognition, or on natural expressive speech synthesis. This will include design, implementation and evaluation of novel algorithms and models for speech recognition or speech synthesis, and testing of algorithms on "real-world" data and tasks obtained from the NST user group. The work will involve close collaboration with other researchers across the three NST partners. http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3015400 --- -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = University of Edinburgh's Festival Speech Synthesis System = = http://festvox.org/festival Sent Via festival-t...@festvox.org = = To unsubscribe mail majord...@festvox.org = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = _______________________________________________ Festlang-talk mailing list Festlang-talk@lists.berlios.de https://lists.berlios.de/mailman/listinfo/festlang-talk
