Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2005-08-23
2005-08-23
Ometz, David L. (Department: 2655)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S246000
Reexamination Certificate
active
06934681
ABSTRACT:
A voice recognition system comprises an analyzer for converting an input voice signal to an input pattern including cepstrum, a reference pattern for storing reference patterns, an elongation/contraction estimating unit for outputting an elongation/contraction parameter in frequency axis direction by using the input pattern and the reference patterns, and a recognizing unit for calculating the distances between the converted input pattern from the converter and the reference patterns and outputting the reference pattern corresponding to the shortest distance as result of recognition. The elongation/contraction unit estimates an elongation/contraction parameter by using cepstrum included in the input pattern. The elongation/contraction unit does not have various values in advance for determining the elongation/contraction parameter, nor is it necessary for the elongation/contraction unit have to execute distance calculation for various values.
REFERENCES:
patent: 5268990 (1993-12-01), Cohen et al.
patent: 5390278 (1995-02-01), Gupta et al.
patent: 5625747 (1997-04-01), Goldberg et al.
patent: 5625749 (1997-04-01), Goldenthal et al.
patent: 5664059 (1997-09-01), Zhao
patent: 5737490 (1998-04-01), Austin et al.
patent: 5742928 (1998-04-01), Suzuki
patent: 5864809 (1999-01-01), Suzuki
patent: 6236963 (2001-05-01), Naito et al.
patent: 0 866 442 (1998-09-01), None
patent: 0 886 442 (1998-09-01), None
patent: 6-214596 (1994-08-01), None
Tadashi Emori Koichi Shinoda, Vocal Tract Length Normalization Using Rapid Maximum-Likelihood Estimation for speech Recognition, pp. 49-54.
S. Umesh et al., “Frequency-Warping and Speaker-Normalization,”IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 983-986, Munich, Germany, (1997), © 1997 IEEE.
L. Lee et al., “A Frequency Warping Approach to Speaker Normalization,”IEEE Transactions on Speech and Audio Processing, vol. 6, pp. 49-60, (1998), © 1998 IEEE.
T. Fukada et al., “Speaker Normalized Acoustic Modeling Based on 3-D Viterbi Decoding.”IEEE Conference, vol. 23., pp., 437-440, (1998), © 1998 IEEE.
P. Zhan et al., “Speaker Normalization Based on Frequency Warping”, 1997 IEEE, (Literature 2), pp. 1039-1042.
“Fundamentals of Voice Recognition”, Part I, translated and edited by Yoshii, NTT Advanced Technology Co., Ltd., (Literature 3), pp. 62-63, 1995 (Japanese document with English translation).
A. V. Oppenheim et al., “Discrete Representation of Signals”, Proceedings of IEEE, vol. 60:6, (Literature 4), pp. 681-691, 1972.
“Fundamentals of Voice Recognition”, (Part II), translated and edited by Furui), NTT Advanced Technology Co., Ltd., (Literature 5), pp. 102-185, 1995 (Japanese document with English translation).
Li Lee et al., “A Frequency Warping Approach to Speaker Normalization,” 1998, pp. 49-60.
Toshiaki Fukada et al., “Speaker Normalized Acoustic Modeling Based on 3-D Viterbi Decoding,” 1998, pp. 437-440.
Maeda, et al., “Straight Voice Conversion Using Warping Along the Frequency Axis of the Spectrum,” 1999, pp. 187-188.
Tokuda et al., “Voice Mel-Cepstrum Analysis Using Secondary Allpass Function Based Frequency Conversions,” 1998, pp. 279-280.
Miyajima et al., “Speaker Recognition Based on Discriminative Feature Extraction—Optimization of Mel-Cepstral Features,” 1999, pp. 1-8.
Umesh S., et al: “Frequency-warping and speaker-normalization” 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (Cat. No. 97CB36052), Munich, Germany, Apr. 21-24, 1997, pp. 983-986 vol. 2, XP002172330 1997, Los Alamitos, CA, USA, IEEE Comput. Soc. Press, USA ISBN: 0-8186-7919-0.
Emori Tadashi
Shinoda Koichi
Foley & Lardner LLP
NEC Corporation
Ometz David L.
Opsasnick Michael N.
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