Unsupervised training of acoustic models for large vocabulary continuous speech recognition

2001 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2001 - Conference Proceedings

Volumn , Issue , 2001, Pages 307-310

  Wessel, F ^a   Ney, H ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS SPEECH RECOGNITION; ITERATIVE METHODS; SPEECH; TRANSCRIPTION;

ACOUSTIC MODEL; CONFIDENCE MEASURE; EVALUATION TEST; LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION; RECOGNITION ERROR; SPEECH RECOGNITION SYSTEMS; SPEECH RECOGNIZER; UNSUPERVISED TRAINING;

SPEECH RECOGNITION;

EID: 84962920544     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2001.1034648     Document Type: Conference Paper

References (5)

1. T. Kemp and A. Waibel, "Unsupervised training of a speech recognizer: Recent experiments," in Proceedings European Conference on Speech Communication and Technology, Budapest, Hungary, Sept. 1999, vol. 5, pp. 2725-2728.
2. L. Lamel, J. L. Gauvain, and G. Adda, "Lightly supervised acoustic model training," in Automatic Speech Recognition Workshop, Paris, France, Sept. 2000, pp. 150-154.
3. F. Wessel, K. Macherey, and R. Schlüter, "Using word probabilities as confidence measures," in Proceedings International Conference on Acoustics, Speech, and Signal Processing, Seattle, WA, USA, 1998, vol. 1, pp. 225-228.
4. F. Wessel, R. Schlüter, K. Macherey, and H. Ney, "Confidence measures for large vocabulary continuous speech recognition," IEEE Transactions on Speech and Audio Processing, vol. 9, no. 3, pp. 288-298, Mar. 2001.
5. S. Ortmanns, H. Ney, and X. Aubert, "A word graph algorithm for large vocabulary continuous speech recognition," Computer Speech and Language, vol. 11, no. 1, pp. 43-72, Jan. 1997.