Sound event detection in real-life audio using joint spectral and temporal features

Author:

Yang WenjunORCID,Krishnan Sridhar

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Reference20 articles.

1. Brown, J.C.: Calculation of a constant q spectral transform. J. Acoust. Soc. Am. 89(1), 425–434 (1991)

2. Bucak, S.S., Gunsel, B.: Online video scene clustering by competitive incremental nmf. Signal Image Video Process. 7(4), 723–739 (2013)

3. Cakir, E., Heittola, T., Huttunen, H., Virtanen, T.: Polyphonic sound event detection using multi label deep neural networks. In: International Joint Conference on Neural Networks (IJCNN), 2015 , pp. 1–7. IEEE (2015)

4. Cotton, CV., Ellis, D.P.W.: Spectral vs. spectro-temporal features for acoustic event detection. In: 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp. 69–72 (2011). http://dx.doi.org/10.1109/ASPAA.2011.6082331

5. Dennis, J.W.: Sound Event Recognition in Unstructured Environments Using Spectrogram Image Processing. Nanyang Technological University, Singapore (2014)

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