KALDI Recipes for the Czech Speech Recognition Under Various Conditions

Author:

Mizera Petr,Fiala Jiří,Brich Aleš,Pollak Petr

Publisher

Springer International Publishing

Reference23 articles.

1. Bolaños, D.: The BAVIECA open-source speech recognition toolkit. In: 2012 IEEE Spoken Language Technology Workshop (SLT), pp. 354–359, December 2012

2. Lecture Notes in Computer Science;M Borsky,2013

3. Dahl, G., Yu, D., Deng, L., Acero, A.: Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition. IEEE Trans. Audio Speech Lang. Process. 20(1), 30–42 (2012)

4. Ernestus, M., Kockova-Amortova, L., Pollak, P.: The Nijmegen corpus of casual Czech. In: Proceedings of the LREC 2014: 9th International Conference on Language Resources and Evaluation, Reykjavik, Iceland, pp. 365–370 (2014)

5. Fousek, P., Pollak, P.: Efficient and reliable measurement and simulation of noisy speech background. In: Proceedings of the EUROSPEECH 2003, 8-th European Conference on Speech Communication and Technology, Geneve, Switzerland (2003)

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