The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 24, 2001

Filed:

Dec. 22, 1998
Applicant:
Inventors:

Alan Lawrence Higgins, San Diego, CA (US);

Steven F. Boll, San Diego, CA (US);

Jack E. Porter, San Diego, CA (US);

Assignee:

ITT Manufacturing Enterprises, Wilmington, DE (US);

Attorney:
Int. Cl.
CPC ...
G10L 2/102 ;
U.S. Cl.
CPC ...
G10L 2/102 ;
Abstract

A method for performing noise suppression and channel equalization of a noisy voice signal comprising the steps of sampling the noisy voice signal at a predetermined sampling rate f,; segmenting the sampled voice signal into a plurality of frames having a predetermined number of samples per frame, over a predetermined temporal window; generating an N-point spectral sample representation of each of the sample signal frames; determining the magnitude of each of the N-point spectral samples and generating a histogram of the energy associated with each of the N-point spectral samples at a particular frequency; detecting a peak amplitude of the histogram which corresponds to a noise threshold N,associated with the particular frequency; determining a channel frequency response C,associated with the particular frequency by determining a geometric mean over all the spectral samples having magnitude exceeding the noise threshold N,; subtracting from each of the magnitudes of the N point spectral samples the noise threshold N,to provide a noise suppressed sample sequence; applying blind deconvolution to the noise suppressed samples; transforming the deconvolved noise suppressed sampled sequence to a temporal representation; shifting the temporal sample sequence in time by a predetermined amount; and adding the time shifted temporal samples over a period corresponding to the predetermined temporal window to provide a suppressed noise voice signal.


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