Unsupervised Speech Unit Discovery Using K-means and Neural Networks

Author:

Manenti Céline,Pellegrini Thomas,Pinquier Julien

Publisher

Springer International Publishing

Reference17 articles.

1. Towards spoken term discovery at scale with zero resources. In: INTERSPEECH, pp. 1676–1679. International Speech Communication Association (2010)

2. Badino, L., Canevari, C., Fadiga, L., Metta, G.: An auto-encoder based approach to unsupervised learning of subword units. In: ICASSP, pp. 7634–7638 (2014)

3. Badino, L.: Phonetic context embeddings for DNN-HMM phone recognition. In: Interspeech 2016, 17th Annual Conference of the International Speech Communication Association, San Francisco, CA, USA, September 8–12, pp. 405–409 (2016)

4. Church, K.W., Helfman, J.I.: Dotplot: a program for exploring self-similarity in millions of lines of text and code. J. Comput. Graph. Stat. 2(2), 153–174 (1993)

5. van Heerden, C., Davel, M., Barnard, E.: The semi-automated creation of stratified speech corpora (2013)

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