Improving of LVCSR for Causal Czech Using Publicly Available Language Resources

Author:

Mizera Petr,Pollak Petr

Publisher

Springer International Publishing

Reference25 articles.

1. Cui, J., Ramabhadran, B., Cui, X., Rosenberg, A., Kingsbury, B., Sethy, A.: Recent improvements in neural network acoustic modeling for LVCSR in low resource languages. In: Proceedings of Interspeech 2014: 15th Annual Conference of the International Speech Communication Association, Singapore (2014)

2. Seltzer, L.M., Dong, Y., Yongqiang, W.: An investigation of deep neural networks for noise robust speech recognition. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, Canada (2013)

3. Korvas, M., Plátek, O., Dušek, O., Žilka, L., Jurčíček, F.: Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license. In: Proceedings of LREC 2014: 9th International Conference on Language Resources and Evaluation, Reykjavik, Iceland, pp. 365–370 (2014)

4. Barras, C., Lamel, L., Gauvain, J.L.: Automatic transcription of compressed broadcast audio. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, USA, pp. 265–268 (2001)

5. Nouza, J., Ždánský, J., Červa, P.: System for automatic collection, annotation and indexing of Czech broadcast speech with full-text search. In: Proceedings of 15th IEEE MELECON Conference, La Valleta, Malta, pp. 202–205 (2010)

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