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.
Patent No.:
Date of Patent:
Aug. 17, 2004
Filed:
May. 17, 2000
Samsung Electronics Co., Ltd., Gyeonggi-Do, KR;
Abstract
A speech enhancement method, including the steps of: (a) segmenting an input speech signal into a plurality of frames and transforming each frame signal into a signal of the frequency domain; (b) computing the signal-to-noise ratio of a current frame, and computing signal-to-noise ratio of a frame immediately preceding the current frame; (c) computing the predicted signal-to-noise ratio of the current frame which is predicted based on the preceding frame and computing the speech absence probability using the signal-to-noise ratio and predicted signal-to-noise ratio of the current frame; (d) correcting the two signal-to-noise ratios obtained in the step (b) based on the speech absence probability computed in the step (c); (e) computing the gain of the current frame with the two corrected signal-to-noise ratios obtained in the step (d), and multiplying the speech spectrum of the current frame by the computed gain; (f) estimating the noise and speech power for the next frame to calculate the predicted signal-to-noise ratio for the next frame, and providing the predicted signal-to-noise ratio for the next frame as the predicted signal-to-noise ratio of the current frame for the step (c); and (g) transforming the result spectrum of the step (e) into a signal of the time domain. The noise spectrum is estimated in speech presence intervals based on the speech absence probability, as well as in speech absence intervals, and the predicted SNR and gain are updated on a per-channel basis of each frame according to the noise spectrum estimate, which in turn improves the speech spectrum in various noise environments.