Microphone array signal enhancement using mixture models

Details Microphone array signal enhancement using mixture models Microphone array signal enhancement using mixture models

2006-09-05

2006-09-05

Chawan, Vijay (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

For storage or transmission

C704S225000, C704S233000, C704S219000, C704S256000, C381S094300, C381S094200

Reexamination Certificate

active

07103541

ABSTRACT:
A system and method facilitating signal enhancement utilizing mixture models is provided. The invention includes a signal enhancement adaptive system having a speech model, a noise model and a plurality of adaptive filter parameters. The signal enhancement adaptive system employs probabilistic modeling to perform signal enhancement of a plurality of windowed frequency transformed input signals received, for example, for an array of microphones. The signal enhancement adaptive system incorporates information about the statistical structure of speech signals. The signal enhancement adaptive system can be embedded in an overall enhancement system which also includes components of signal windowing and frequency transformation.

REFERENCES:
patent: 4811404 (1989-03-01), Vilmur et al.
patent: 5544250 (1996-08-01), Urbanski
patent: 5550924 (1996-08-01), Helf et al.
patent: 5574824 (1996-11-01), Slyh et al.
patent: 5864806 (1999-01-01), Mokbel et al.
patent: 5878389 (1999-03-01), Hermansky et al.
patent: 5966689 (1999-10-01), McCree
patent: 6001131 (1999-12-01), Raman
patent: 6453327 (2002-09-01), Nielsen
patent: 6757830 (2004-06-01), Tarbotton et al.
patent: 6910011 (2005-06-01), Zakarauskas
patent: 2002/0199095 (2002-12-01), Bandini et al.
patent: WO 2004/059506 (2004-07-01), None
Lee et al., (“Time-domain approach using multiple Kalman filters and EM algorithm to speech enhancement with nonstationary noise”, IEEE Transactions on Speech and Audio Processing, vol. 8, issue 3, May 2000, pp. 282-291).
Deisher et al., (“Speech enhancement using a state-based transform model”, 1194 Conference Record of the Twenty-Eighth Asilomar Conference on Signals, Systems and Computers, vol. 2, Oct. 31-Nov. 2, 1994, pp. 1242-1246).
Hattias and L. Deng, A new approach to speech enhancement with a microphone array using EM and mixture models. Proceedings of the 7th International Conference on Spoken Language Processing, 2002. 4 pages.
“Statistical-Model-Based Speech Enchancement Systems”; Yariv Ephraim, Proceedings of IEEE, vol. 80, No. 10, Oct. 1992 pp. 1526-1555.
“A New Method for Speech Denoising and Robus Speech Recognition Using Probabilistic Models for Clean Speech and for Noise”; Hagai Attias, et al.; Microsoft.
“Blind Source Separation and Deconvolution: The Dynamic Component Analysis Algorithm”; H Attias, et al.; University of California at San Francisco; pp. 1-37.
Brendan J. Frey, et al. Algonquin: Iterating Laplace's Method to Remove Multiple Types of Acoustic Distortion for Robust Speech Recognition, Proceedings of the European Conference on Speech Communication and Technology, Sep. 2001, 4 pages.
Scott M. Griebel, et al. Microphone Array Speech Dereverberation Using Coarse Channel Modeling, IEEE 2001, pp. 201-204.
Michael J. Jordan, et al. An Introduction to Variational Methods for Graphical Models, Machine Learning, 37, 1999, pp. 183-233.
Partial European Search Report, EP33823TE900kap, mailed Jun.21, 2005.

Affiliated with

Also associated with

Rating

Microphone array signal enhancement using mixture models does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Microphone array signal enhancement using mixture models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Microphone array signal enhancement using mixture models will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3558365