Speaker recognition using HMM composition in noisy environments

Computer Speech and Language

Volumn 10, Issue 2, 1996, Pages 107-116

  Matsui, Tomoko ^a   Kanno, Tomohito ^b   Furui, Sadaoki ^a,b  

^a NTT CORPORATION   (Japan)

^b TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; MARKOV PROCESSES; MATHEMATICAL MODELS; SIGNAL TO NOISE RATIO;

HIDDEN MARKOV MODEL; MALE SPEAKERS; NOISE ADDED SPEAKER; TEXT INDEPENDENT SPEAKER IDENTIFICATION; TEXT INDEPENDENT SPEAKER VERIFICATION;

SPEECH RECOGNITION;

EID: 0030125219     PISSN: 08852308     EISSN: None     Source Type: Journal    
DOI: 10.1006/csla.1996.0007     Document Type: Article

References (6)

1. Gales, M. J. F. & Young, S. J. (1993). HMM recognition in noise using parallel model combination. Proceedings of Eurospeech-93, pp. II-837-840, Berlin.
2. Kuwabara, H., Sagisaka, Y., Takeda, K. & Abe, M. (1989). Construction of ATR Japanese speech database as a research tool. ATR Technical Report TR-I-0086.
3. Martin, F., Shikano, K. & Minami, Y. (1993). Recognition of noisy speech by composition of hidden Markov models. Proceedings of Eurospeech-93, pp. II-1031-1034, Berlin.
4. Matsui, T. & Furui, S. (1992). Comparison of text-independent speaker recognition methods using VQ-distortion and discrete/continuous HMMs. Proceedings of the IEEE ICASSP-92, pp. II-157-160, San Francisco, CA.
5. Matsui, T. & Furui, S. (1994). Similarity normalization method for speaker verification based on a posteriori probability. Proceedings of the ESCA workshop on automatic speaker recognition, identification and verification, pp. 59-62, Martigny.
6. Rose, R. C., Hofstetter, E. M. & Reynolds, D. A. (1994). Integrated models of signal and background with application to speaker identification in noise. IEEE Transactions on SA 2, 245-257.