Automatic Speech Recognition with Deep Neural Networks for Impaired Speech

Author:

España-Bonet Cristina,Fonollosa José A. R.

Publisher

Springer International Publishing

Reference25 articles.

1. Abdel-Hamid, O., Deng, L., Yu, D.: Exploring convolutional neural network structures and optimization techniques for speech recognition. In: Interspeech 2013, Lyon, France, 25–29 August 2013, pp. 3366–3370 (2013)

2. Amodei, D., Anubhai, R., Battenberg, E., Case, C., Casper, J., Catanzaro, B.C., Chen, J., Chrzanowski, M., Coates, A., Diamos, G., Elsen, E., Engel, J., Fan, L., Fougner, C., Han, T., Hannun, A.Y., Jun, B., LeGresley, P., Lin, L., Narang, S., Ng, A.Y., Ozair, S., Prenger, R., Raiman, J., Satheesh, S., Seetapun, D., Sengupta, S., Wang, Y., Wang, Z., Wang, C., Xiao, B., Yogatama, D., Zhan, J., Zhu, Z.: Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs/1512.02595 (2015)

3. Bourlard, H.A., Morgan, N.: Connectionist Speech Recognition: A Hybrid Approach. Kluwer Academic Publishers, Norwell (1993)

4. 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)

5. Dehak, N., Dehak, R., Kenny, P., Brummer, N., Ouellet, P., Dumouchel, P.: Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification. In: Interspeech 2009, Brighton, United Kingdom, 6–10 September 2009, pp. 1559–1562 (2009)

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