Use of noise segmentation for noise cancellation

Electrical audio signal processing systems and devices – Noise or distortion suppression – Spectral adjustment

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395 235, 395 236, 395 237, 395 242, H04B 1500

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active

057270724

ABSTRACT:
What is disclosed is a method and system for improving noise cancellation in a signal containing speech by classifying noise frames by their characteristics, and estimating noise based on only one classification at a time. In some instances, the disclosed method further directs the noise estimator and noise canceller to utilize only a designated noise class. Also, the disclosed system can automatically switch between pre-processing and post-processing modes in response to detected changes in acoustic environments.

REFERENCES:
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Noise adaptation in a hidden Markov model speech recognition system. "Computer Speech & Language"--Dirk Van Compernolle 1989--pp. 151-167.
Environmental Robustness In Automatic Speech Recognition Alejandro Acero and Richard M. Stern pp. 849-852 Dept. of Elec. & Comp. Engineering & School of Comp. Science Carnagie Mellon University.
Robust Word Setting in Adverse Car Environments pp. 1045-1048 Satoshi Nakamura, Toshio Akabane, Seiji Hamaguchi Sharp Corp--Japan.
IEEE Transactions on Speech & Audio Processing vol. 1--No. 1 Jan. '93 "Energy Conditioned Spectral Estimation for Recognition of Noisy Speech" Adoram Erell, Mitch Weintraub pp. 84-89.
IEEE Transactions on Acoustics, Speech, and Signal Processing--vol. ASSP-27 No. 2--Apr. '79--"Suppression of Acoustic Noise in Speech Using Special Subtraction" Steven Boll pp. 113-120.
"Experiments On Noise Reduction Techniques With Robust Voice Detector In Car Environments" A. Brancaccio and C. Pelaez Alcatel Italia, FACE Division Research Center pp. 1259-1262.
"Automatic Word Recognition in Cars"Chafic Mokbel and Gerard Chollet.

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