Voice recognition system

Details Voice recognition system Voice recognition system

2006-03-21

2006-03-21

Young, W. R. (Department: 2655)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S255000, C704S244000, C704S256000

Reexamination Certificate

active

07016837

ABSTRACT:
An initial combination HMM16is generated from a voice HMM10having multiplicative distortions and an initial noise HMM of additive noise, and at the same time, a Jacobian matrix J is calculated by a Jacobian matrix calculating section19.Noise variation Namh (cep), in which an estimated value Ha^(cep) of the multiplicative distortions that are obtained from voice that is actually uttered, additive noise Na(cep) that is obtained in a non-utterance period, and additive noise Nm(cep) of the initial noise HMM17are combined, is multiplied by a Jacobian matrix, wherein the result of the multiplication and initial combination HMM16are combined, and an adaptive HMM26is generated. Thereby, an adaptive HMM26that is matched to the observation value series RNah(cep) generated from actual utterance voice can be generated in advance. When performing voice recognition by collating the observation value series RNah(cep) with adaptive HMM26,influences due to the multiplicative distortions and additive distortions are counterbalanced, wherein an effect that is equivalent to a case where voice recognition is carried out with clean voice can be obtained, and a robust voice recognition system can be achieved.

REFERENCES:
patent: 5956679 (1999-09-01), Komori et al.
patent: 6026359 (2000-02-01), Yamaguchi et al.
Hiroki Yamamoto et al., “Fast Speech Recognition Algorithm Under Noisy Environment Using Modified CMS-PMC and Improved IDMM+SQ,” 1997 IEEE, International Conference on Acoustics, Speech and Signal Processing, vol. 2, Apr. 21, 1997, pp. 847-850.
Yoshikazu Yamaguchi et al., “Fast Adaptation of Acoustic Models to Environmental Noise Using Jacobian Adaptation Algorithm,” ESCA, Eurospeech97, vol. 4, Sep. 22, 1997, pp. 2051-2054.
M. Shozakai et al., “A Non-Iterative Model-Adaptive E-CMN/PMC Approach for Speech Recognition in Car Environments.” Eurospeech 1997, Sep. 22, 1977, pp. 287-290.
M.J.F. Gales et al., “Robust Speech Recognition in Additive and Convolutional Noise Using Parallel Model Combination,” Computer Speech and Language, vol. 9, No. 4, Oct. 1, 1995, pp. 289-307.
Jenq-Neng Hwang and Chien-Jen Wang, “Joint Model and Feature Space Optimization for Robust Speech Recognition,” 1997 IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2, Apr. 21, 1997, pp. 855-858.

Affiliated with

Also associated with

Rating

Voice recognition system does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Voice recognition system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Voice recognition system will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3594583