Classification of Musical Instruments is coming at 04/05/2019 - 10:00am KEC 1007 Fri, 04/05/2019 - 10:00am
Patrick Donnelly Assistant Professor, Computer Science, California State University, Chico Abstract: Musical instrument classification is an important task in the area of Music Information Retrieval. While there have been many approaches to recognize individual instruments, the majority of these are not extensible to the more complex case of identifying the musical instruments present in polyphonic mixtures. This talk presents a data-driven clustering technique for learning regions of spectral prominence in an instrument's timbre, exploiting these regions as spectral filters in the feature extraction stage of a binary-relevance classification task. These spectral filters are used for source separation estimation in the task of automatic identification of musical instruments present in polyphonic mixtures. Machine learning experiments demonstrate this approach over several large datasets consisting of multiple articulations, dynamics, and performers, and cross-validated across datasets. Bio: Read more: http://eecs.oregonstate.edu/colloquium/classification-musical-instruments [1] [1] http://eecs.oregonstate.edu/colloquium/classification-musical-instruments
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