Publications
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
J. Salamon and J. P. Bello.
IEEE Signal Processing Letters, In Press, 2016.
[IEEE][arXiv][BibTeX]
Feature Learning with Deep Scattering for Urban Sound Analysis
J. Salamon and J. P. Bello.
2015 European Signal Processing Conference (EUSIPCO), Nice, France, August 2015.
[IEEE][PDF][BibTeX]
Unsupervised Feature Learning for Urban Sound Classification
J. Salamon and J. P. Bello.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015.
[IEEE][DOI][PDF][BibTeX][Copyright]
A Dataset and Taxonomy for Urban Sound Research
J. Salamon, C. Jacoby and J. P. Bello
22nd ACM International Conference on Multimedia, Orlando USA, Nov. 2014.
[ACM][PDF][BibTeX]
J. Salamon and J. P. Bello.
IEEE Signal Processing Letters, In Press, 2016.
[IEEE][arXiv][BibTeX]
Feature Learning with Deep Scattering for Urban Sound Analysis
J. Salamon and J. P. Bello.
2015 European Signal Processing Conference (EUSIPCO), Nice, France, August 2015.
[IEEE][PDF][BibTeX]
Unsupervised Feature Learning for Urban Sound Classification
J. Salamon and J. P. Bello.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015.
[IEEE][DOI][PDF][BibTeX][Copyright]
A Dataset and Taxonomy for Urban Sound Research
J. Salamon, C. Jacoby and J. P. Bello
22nd ACM International Conference on Multimedia, Orlando USA, Nov. 2014.
[ACM][PDF][BibTeX]
Related Datasets
A detailed table of environmental sound datasets, audio context datasets and online sound services maintained by Toni Heittola can be found here. For each dataset a list of relevant papers is also provided.
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© Copyright IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.