Search method based on single triphone tree for large...

Details Search method based on single triphone tree for large... Search method based on single triphone tree for large...

2005-12-27

2005-12-27

McFadden, Susan (Department: 2655)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S255000, C704S256000

Reexamination Certificate

active

06980954

ABSTRACT:
A search method based on a single triphone tree for large vocabulary continuous speech recognizer is disclosed in which speech signal are received. Tokens are propagated in a phonetic tree to integrate a language model to recognize the received speech signals. By propagating tokens, which are preserved in tree nodes and record the path history, a single triphone tree can be used in a one pass searching process thereby reducing speech recognition processing time and system resource use.

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patent: 6064959 (2000-05-01), Young et al.
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patent: 0942409 (1999-09-01), None
Search Report for PCT/CN00/00302; mailed Apr. 12, 2001; 2 pages.
Ney, H. and Ortmanns, S., “Dynamic Programming Search for Continuous Speech Recognition”, IEEE Signal Processing Magazine, vol. 16, No. 5, pp. 64-83, Sep. 1999.
Nguyen, L. and Schwartz, R., “The BBN Single-Phonetic-Tree Fast-Match Algorithm”, Proc. Int. Conf. Spoken Language Processing, vol. 5, Sydney, Australia, pp. 1827-1830, Dec. 1998.
Odell, J.J., Valtchev, V., Woodland, P.C., and Young, S.J., “A One Pass Decoder Design for Large Vocabulary Recognition”, Proc Human Language Technology Workshop, pp. 405-410, Plainsboro NJ, Morgan Kaufman Publishers Inc, 1994.
S. J. Young, N. H. Rusell, and J. H. S. Thornton, “Token Passing: a Conceptual model for Connected Speech Recognition”, Cambridge University Engineering Dept, CUED/F-INFENG/TR38, pp. 1-23, 1989.

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