Speech recognizer

Details Speech recognizer Speech recognizer

2005-03-15

2005-03-15

Dorvil, Richemond (Department: 2654)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S231000, C704S236000, C704S255000

Reexamination Certificate

active

06868382

ABSTRACT:
The generic word label series used for recognition of words uttered by unspecified speakers are stored in the vocabulary label network accumulation processing. The speech of a particular speaker is entered. Based on the input speech, the registered word label series extraction processing generates the registered word label series. The registered word label series of the particular speaker can then be registered with the vocabulary label network accumulation processing.

REFERENCES:
patent: 4718094 (1988-01-01), Bahl et al.
patent: 4817156 (1989-03-01), Bahl et al.
patent: 5025471 (1991-06-01), Scott et al.
patent: 5054074 (1991-10-01), Bakis
patent: 5182773 (1993-01-01), Bahl et al.
patent: 5677988 (1997-10-01), Takami et al.
patent: 5732187 (1998-03-01), Scruggs et al.
patent: 5794204 (1998-08-01), Miyazawa et al.
patent: 5799277 (1998-08-01), Takami
patent: 5839105 (1998-11-01), Ostendorf et al.
patent: 58-106329 (1983-06-01), None
patent: 63-32596 (1988-02-01), None
patent: 1-41912 (1989-09-01), None
patent: 6-186995 (1994-07-01), None
patent: 7-104678 (1995-11-01), None
patent: 09097096 (1997-04-01), None
patent: 09-097096 (1997-04-01), None
Bahl et al (“Decision Trees For Phonological Rules In Continuous Speech”, International Conference on Acoustics, Speech, an Signal Processing, Apr. 1991).*
Lee et al (“Allophone Clustering For Continuous Speech Recognition”, International Conference on Acoustics, Speech, and Signal Processing, Apr. 1990).*
Takami et al., Automatic Generation of the Hidden Markov Network by Successive State Splitting on Contextual Domain and Temporal Domain, Denshi Jouhou Tsuushin Gakkai Gijutsu Kenkyuu Houkoku, Dec. 19, 1991, pp. 57-64.
Takami et al., A Successive State Splitting Algorithm For Efficient Allophone Modeling, Proceedings of 1992 IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 1, 1992, pp. I-573-I-576.
Jun-Ichi Takami et al., “Automatic Generation of the Hidden Markov Network by the Successive State Splitting Algorithm,” ATR Interpreting Telephony Research Laboratories, Oct. 1991 (w/Partial Translation).
K. Kano, et al., “Digital Signal Processing of Speech/Sound Information” (w/Partial Translation), Nov. 19, 1997, Table of Contents, pp. 41-43, etc., Shokodo.
Yasuhiro Minami, et al., “Evaluation of Concatenated Training HMMs Using a Corpus for Speaker-Independent Continuous Speech Recognition,” NTT Human Interface Laboratories, Jan. 24, 1992, pp. 41-47, vol. 91, No. 434, SP91-113, pp. 41-47 (in Japanese) (w/English Abstract).
Katsuteru Maruyama, et al., “English Word Recognition Using HMM Phone Concatenated Training,” IEICE Technical Report, Jan. 26, 1989, vol. 88, No. 368, SP88-119, pages pp. 23-29 (in English).
Kazuya Takeda, et al., “A Hidden Markov Model Represented as Network of Acoustic Events,” Collection I of Lecture Papers from the Spring 1991 Research Publication Meeting of the Acoustical Society of Japan, 3-P-13, Mar. 27, 1991, pp. 173-174 (w/Partial Translation).
Kazuya Takeda, et al., “Acoustic-event HMM Applied to Isolated Word and Continuous Speech Recognition,” KDD R&D Laboratories, Collection I of Lecture Papers from the Autumn 1991 Research Publication Meeting of the Acoustical Society of Japan, 2-P-1, Oct. 1991, pp. 139-140 (w/Partial Translation).
Lawrence Rabiner, et al., “Fundamentals of Speech Recognition,” 1993, pp. 441-447, Prentice Hall, Inc.

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