Committee-based active learning for speech recognition

IEICE Transactions on Information and Systems

Volumn E94-D, Issue 10, 2011, Pages 2015-2023

  Hamanaka, Yuzo ^a,c   Shinoda, Koichi ^a   Tsutaoka, Takuya ^a   Furui, Sadaoki ^a   Emori, Tadashi ^b,d   Koshinaka, Takafumi ^b  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^b NEC CORPORATION   (Japan)

^c ASAHI KASEI CORPORATION   (Japan)

^d YAHOO JAPAN CORPORATION   (Japan)

Author keywords

Active learning; LVCSR; Progressive alignment; Query by committee

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONTINUOUS SPEECH RECOGNITION; DEEP NEURAL NETWORKS;

ACTIVE LEARNING; CORPUS OF SPONTANEOUS JAPANESE; LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION; LVCSR; PROGRESSIVE ALIGNMENT; QUERY BY COMMITTEES; UNCERTAINTY SAMPLINGS; WORD POSTERIOR PROBABILITY;

SPEECH RECOGNITION;

EID: 80053395089     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1587/transinf.E94.D.2015     Document Type: Article

References (15)

1. G. Tur, D. Hakkani-Tur, and R.E. Schapire, "Combining active and semi-supervised learning for spoken language understanding," Proc. Speech Commun., vol.45, pp.171-186, 2005. (Pubitemid 40220192)
2. D. Hakkani-Tur, G. Riccardi, and A. Gorin, "Active learning for automatic speech recognition," Proc. ICASSP, pp.3904-3907, 2002.
3. G. Riccardi and D. Hakkani-Tur, "Active learning: Theory and applications to automatic speech recognition," IEEE Trans. Speech Audio Process., vol.13, no.4, pp.504-511, 2005.
4. B. Varadarajan, D. Yu, L. Deng, and A. Acero, "Maximizing global entropy reduction for active learning in speech recognition," Proc. ICASSP, pp.4721-4724, 2009.
5. H. Lin and J. Bilmes, "How to select a good training-data subset for transcription: submodular active selection for sequences," Proc. Interspeech, pp.2859-2862, 2009.
6. Y. Hamanaka, K. Shinoda, S. Furui, T. Emori, and T. Koshinaka, "Speech modeling based on committee-based active learning," Proc. ICASSP, SP-L8.1, Dallas, 2010.
7. H.S. Seung, M. Opper, and H. Sompolinsky, "Query by committee," Workshop on Comput. Learning Theory, pp.287-294, 1992. (Pubitemid 23615454)
8. Y. Freund, H.S. Seung, E. Shamir, and N. Tishby, "Selective sampling using the query by committee algorithm," Mach. Learn., vol.28, pp.133-168, 1997. (Pubitemid 127506338)
9. I. Dagan and S.P. Engelson, "Committee-based sampling for training probabilistic classifiers," Proc. ICML, pp.150-157, 1995.
10. G. Tur, R. Schapire, and D. Hakkani-Tur, "Active learning for spoken language understanding," Proc. ICASSP, vol.1, 2003.
11. J.G. Fiscus, "A post-processing system to yield reduced error word rates: Recognizer output voting error reduction (ROVER)," Proc. IEEE Workshop on Automatic Recognition and Understanding, pp.347-354, 1997.
12. R. Durbin, S. Eddy, A. Krogh, and G. Mitchison, Biological Sequence Analysis, Cambridge University Press, 1998.
13. K. Maekawa, H. Koiso, S. Furui, and H. Isahara, "Spontaneous speech corpus of Japanese," Proc. LREC, vol.2, pp.947-952, 2000.
14. "The Hidden Markov Model Toolkit," http://htk.eng.cam.ac.uk/
15. L. Gillick and S. Cox, "Some statistical issues in the comparison of speech recognition algorithms," Proc. ICASSP, pp.532-535, 1989. (Pubitemid 20604171)