Exploring Convolutional Neural Networks for Voice Activity Detection

Author:

Silva Diego Augusto,Stuchi José Augusto,Violato Ricardo P. Velloso,Cuozzo Luís Gustavo D.

Publisher

Springer International Publishing

Reference28 articles.

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3. Benyassine A, Shlomot E, Su HY, Massaloux D, Lamblin C, Petit JP (1997) Itu-t recommendation g. 729 annex b: a silence compression scheme for use with g. 729 optimized for v. 70 digital simultaneous voice and data applications. IEEE Commun Mag 35(9):64–73

4. Costa Y, Oliveira L, Koerich A, Gouyon F (2013) Music genre recognition based on visual features with dynamic ensemble of classifiers selection. In: 2013 20th international conference on systems, signals and image processing (IWSSIP). IEEE, pp 55–58

5. Dean DB, Sridharan S, Vogt RJ, Mason MW (2010) The qut-noise-timit corpus for the evaluation of voice activity detection algorithms. Proceedings of interspeech 2010

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