Lightly Supervised Acoustic Model Training for Mandarin Continuous Speech Recognition
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-36669-7_88
Reference10 articles.
1. Lamel, L., Gauvain, J., Adda, G.: Lightly Supervised and Unsupervised Acoustic Model Training. Computer Speech and Language 16, 115–129 (2002)
2. Wessel, F., Ney, H.: Unsupervised Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition. IEEE Transactions on Speech and Audio Processing 13(1), 23–31 (2005)
3. Wang, L., Gales, M.J.F., Woodland, P.C.: Unsupervised training for Mandarin Broadcast News and Conversation Transcription. In: Proc. ICASSP, vol. 4, pp. 353–356 (2007)
4. Fraga-Silva, T., Gauvain, J., Lamel, L.: Lattice-based unsupervised acoustic model training. In: Proc. ICASSP, pp. 4656–4659 (2011)
5. Kawahara, T., Mimura, M., Akita, Y.: Language model transformation applied to lightly supervised training of acoustic model for congress meetings. In: Proc. ICASSP, pp. 3853–3856 (2009)
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