Method for computer-supported speech recognition, speech...

Details Method for computer-supported speech recognition, speech... Method for computer-supported speech recognition, speech...

2007-06-12

2007-06-12

Abebe, Daniel (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S257000

Reexamination Certificate

active

10663966

ABSTRACT:
The speech recognition rate which is necessary is determined for a selected speech recognition application. The information content of the feature vector components which is at least necessary to ensure the speech recognition rate is determined using a stored speech recognition rate information. The number of necessary feature vector components which is necessary to make available the determined information content is determined and the speech recognition is carried out using feature vectors with the determined required number of feature vector components.

REFERENCES:
patent: 6253173 (2001-06-01), Ma
patent: 6801892 (2004-10-01), Yamamoto
Haeb-Umback R. et al., “Improvements in connected digit recognition using linear discriminant analysis and mixture densities.” In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. II-239-242, New York, IEEE, U.S., Apr. 27, 2003.
Hubener K. et al., “Speech recognition for spontaneously spoken German dialogues.” In Spoken Language, 1996. ICSLP 96. Proceedings, Fourth International Conference on Spoken Language, Philadelphia, PA, pp. 212-215, Oct. 3-6, 1996.
Dolfgang J.G.A. et al., “Signal representations for hidden Markov model based on line handwriting recognition.” In Acoustics, Speech, and Signal Processing, 1997, pp. 3385-3388. IEEE International Conference in Munich Germany, Apr. 21-24, 1997, IEEE Comput. Soc., Los Alamitos, CA, USA, Apr. 21, 1997.

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