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Improving acoustic model for Vietnamese large vocabulary continuous speech recognition system using deep bottleneck features

Năm XB 2015 Tạp chí / Hội thảo Advances in Intelligent Systems and Computing Volume 326 DOI / Link https://doi.org/10.1007/978-3-319-11680-8_5 ↗

Tác giả

Tài liệu tham khảo

[1] Vu, T.T., Nguyen, D.T., Luong, M.C., Hosom, J.-P.: Vietnamese large vocabulary continuous speech recognition. In: INTERSPEECH (2005)

[2] Quang, N.H., Nocera, P., Castelli, E., Van Loan, T.: A novel approach in continuous speech recognition for vietnamese. In: SLTU (2008)

[3] Vu, N.T., Schultz, T.: Vietnamese large vocabulary continuous speech recognition. In: Proc. Automatic Speech Recognition and Understanding (ASRU), Merano, Italy. IEEE (December 2009)

[4] Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 257–286 (1989)

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

[6] Hermansky, H., Ellis, D.P.W., Sharma, S.: Tandem connectionist feature extraction for conventional hmm systems. In: Proc. ICASSP, pp. 1635–1638 (2000)

[7] Grezl, F., Karafiat, M., Kontair, S., Cernocky, J.: Probabilistic and bottle-neck features for lvcsr of meetings. In: 2007 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. V–757–IV–760. IEEE (2007)

[8] Seide, F., Li, G., Yu, D.: Conversational speech transcription using context-dependent deep neural networks. In: Proc. Interspeech 2011, pp. 437–440 (2011)

[9] Hinton, G.E., Osindero, S., Teh, Y.-W.: A fast learning algorithm for deep belief nets 18, 1527–1554 (2006)

[10] Erhan, D., Bengio, Y., Courville, A., Manzagol, P.-A., Vincent, P., Bengio, S.: Why does unsupervised pre-training help deep learning? J. Mach. Learn. Res. 11, 625–660 (2010)

[11] Gehring, J., Miao, Y., Metze, F., Waibel, A.: Extracting deep bottleneck features using stacked auto-encoders. In: ICASSP 2013, Vancouver, CA, pp. 3377–3381 (2013)

[12] Metze, F., Sheikh, Z.A.W., Waibel, A., Gehring, J., Kilgour, K., Nguyen, Q.B., Nguyen, V.H.: Models of tone for tonal and non-tonal languages. In: ASRU, pp. 261–266. IEEE (2013)

[13] Ghahremani, P., BabaAli, B., Povey, D., Riedhammer, K., Trmal, J., Khudanpur, S.: A pitch extraction algorithm tuned for automatic speech recognition. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Signal Processing Society (to appear, May 2014)

[14] Talkin, D.: A robust algorithm for pitch tracking (RAPT). In: Klein, W.B., Palival, K.K. (eds.) Speech Coding and Synthesis. Elsevier (1995)

[15] Plante, F., Meyer, G.F., Ainsworth, W.A.: A pitch extraction reference database. In: EUROSPEECH. ISCA (1995)

[16] Yu, D., Seltzer, M.L.: Improved bottleneck features using pretrained deep neural networks. In: INTERSPEECH, pp. 237–240 (2011)

[17] Tüske, Z., Schlüter, R., Ney, H.: Deep hierarchical bottleneck mrasta features for IVCSR. In: ICASSP, pp. 6970–6974 (2013)

[18] Sainath, T.N., Kingsbury, B., Ramabhadran, B.: Auto-encoder bottleneck features using deep belief networks. In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4153–4156 (2012)

[19] Vincent, P., Larochelle, H., Bengio, Y., Manzagol, P.-A.: Extracting and composing robust features with denoising autoencoders. In: ICML 2008, pp. 1096–1103 (2008)

[20] Glorot, X., Bordes, A., Bengio, Y.: Domain adaptation for large-scale sentiment classification: A deep learning approach. In: Proceedings of the 28th International Conference on Machine Learning (ICML 2011), pp. 513–520 (2011)

[21] Povey, D., Ghoshal, A., Boulianne, G., Burget, L., Glembek, O., Goel, N., Hannemann, M., Motlicek, P., Qian, Y., Schwarz, P., Silovsky, J., Stemmer, G., Vesely, K.: The kaldi speech recognition toolkit. In: IEEE 2011 Workshop on Automatic Speech Recognition and Understanding. IEEE Signal Processing Society, IEEE Catalog No.: CFP11SRW-USB (December 2011)

[22] Rath, S.P., Povey, D., Vesely, K., Cernocky, J.: Improved feature processing for deep neural networks. In: INTERSPEECH, pp. 109–113. ISCA (2013)

[23] Nguyen, V.H., Luong, C.M., Vu, T.T.: Applying bottle neck feature for vietnamese speech recognition, pp. 379–388 (2013)

[24] Nguyen, Q.B., Gehring, J., Kilgour, K.: A Waibel, “Optimizing deep bottleneck feature extraction.” in. In: 2013 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), pp. 152–156 (November 2013)