Multi-keyword spotting of telephone speech using a fuzzy search algorithm and keyword-driven two-level CBSM

Speech Communication

Volumn 33, Issue 3, 2001, Pages 197-212

  Wu, Chung Hsien ^a   Chen, Yeou Jiunn ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY SETS; SPEECH CODING; TELEPHONE;

FUZZY SEARCH ALGORITHM; MULTI KEYWORD SPOTTING; TELEPHONE SPEECH;

SPEECH RECOGNITION;

EID: 0035254137     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6393(00)00016-9     Document Type: Article

References (16)

1. Bai, B.R., Tseng, C.Y., Lee, L.S., 1997. A multi-phase approach for fast spotting of large vocabulary Chinese keywords from Mandarin speech using prosodic information. In: Proceedings of the International Conference on Acoustics, Speech, Signal Processing. Vol. 2, pp. 903-906.
2. Boll S.F. Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. Acoust. Speech Signal Processing. 27:1979;113-120.
3. Fukunaga K. Introduction to Statistical Pattern Recognition. 1972;Academic Press, New York.
4. Huang E.F., Wang H.C. An efficient algorithm for syllable hypothesization in continuous Mandarin speech recognition. IEEE Trans. Speech Audio Processing. 2(3):1994;446-449.
5. Lawrence, C., Rahim, M., 1997. Integrated bias removal techniques for robust speech recognition. In: Proceedings of Eurospeech-97, pp. 2567-2570.
6. Lecomte, I., Lever, M., Boudy, J., Tassy, A., 1989. Car noise processing for speech input. In: Proceedings of the International Conference on Acoustics, Speech, and Signal Processing. Vol. 1, pp. 512-515.
7. Lim J.S. Evaluation of a correlation subtraction method for enhancing speech degraded by additive white noise. IEEE Trans. Acoust. Speech Signal Processing. 26:1978;471-472.
8. Mokbel, C., Paches-leal, P., Jouvet, D., Monne, J., 1994. Compensation of telephone line effect for robust speech recognition. In: Proceeding of the Conference on Spoken Language Processing, pp. 987-990.
9. Rabiner, L., Juang, B.H., 1993. Fundamentals of Speech Recognition. Prentice Hall, Englewood Cliffs, NJ, pp. 365.
10. Rahim M.G., Juang B.H. Signal bias removal by maximum likelihood estimation for robust telephone speech recognition. IEEE Trans. Speech Audio Processing. 4(1):1996a;19-30.
11. Rahim M.G., Juang B.H., Chou W., Buhrke E. Signal conditioning techniques for robust speech recognition. IEEE Signal Proc. Lett. 3(4):1996;107-109.
12. Rahim M.G., Lee C.H., Juang B.H. Discriminative utterance for connected digits recognition. IEEE Trans. Speech Audio Processing. 5(3):1997;266-277.
13. Sankar A., Lee C.H. A maximum-likelihood approach to stochastic matching for robust speech recognition. IEEE Trans. Speech Audio Processing. 4(3):1996;190-202.
14. Sim B.L., Tong Y.C., Chang J.S., Tan C.T. A parametric formulation of the generalized spectral subtraction method. IEEE Trans. Speech Audio Processing. 6(4):1998;328-337.
15. Sukkar R.A., Lee C.H. Vocabulary independent discriminative utterance verification for nonkeyword rejection in subword based speech recognition. IEEE Trans. Speech Audio Processing. 4(6):1996;420-429.
16. Yoma N.B., Mclnnes F.R., Jack M.A. Improving performance of spectral subtraction in speech recognition using a model for additive noise. IEEE Trans. Speech Audio Processing. 6(6):1998;579-582.