Spoken Language Identification Using Language Bottleneck Features

Author:

Grisard Malo,Motlicek Petr,Allouchi Wissem,Baeriswyl Michael,Lazaridis Alexandros,Zhan Qingran

Publisher

Springer International Publishing

Reference15 articles.

1. Dehak, N., Kenny, P.J., Dehak, R., Dumouchel, P., Ouellet, P.: Front-end factor analysis for speaker verification. IEEE Trans. Audio Speech Lang. Process. 19(4), 788–798 (2011)

2. Elenius, K., Lindberg, J.: SpeechDat Speech Databases for Creation of Voice Driven Teleservices. Phonum 4, Phonetics, pp. 61–64 (1997). http://www.speech.kth.se/prod/publications/files/538.pdf

3. Fér, R., Matějka, P., Grézl, F., Plchot, O., Cernocký, J.H.: Multilingual bottleneck features for language recognition. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2015, pp. 389–393, January 2015

4. Glembek, O., Burget, L., Matějka, P., Karafiát, M., Kenny, P.: Simplification and optimization of i-vector extraction. In: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4516–4519, May 2011

5. Gonzalez-Dominguez, J., Lopez-Moreno, I., Sak, H., Gonzalez-Rodriguez, J., Moreno, P.J.: Automatic language identification using long short-term memory recurrent neural networks. In: Proceedings of Interspeech, pp. 2155–2159 (2014)

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