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Descripción
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| This paper presents a sound event detection system based on mel-frequency cepstral coefficients and a non-parametric classifier. System performance is tested using the training and development datasets corresponding to the second task of the DCASE 2016 challenge. Results indicate that the most relevant spectral information for event detection is below 8000 Hz and that the general shape of the spectral envelope is much more relevant than its fine details. | |
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Internacional
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Si |
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Nombre congreso
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DCASE2016 Workshop. Workshop on Detection and Classification of Acoustic Scenes and Events |
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Tipo de participación
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970 |
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Lugar del congreso
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Budapest, Hungría |
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Revisores
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Si |
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ISBN o ISSN
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978-952-15-3807-0 |
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DOI
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Fecha inicio congreso
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03/09/2016 |
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Fecha fin congreso
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03/09/2016 |
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Desde la página
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30 |
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Hasta la página
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34 |
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Título de las actas
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Proceedings of the Detection and Classification of Acoustic Scenes and Events 2016 Workshop (DCASE2016) http://www.cs.tut.fi/sgn/arg/dcase2016/workshop-proceedings |