Nonlinear filter for noise suppression in linear prediction spee

Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

704223, G10L 914

Patent

active

059131870

ABSTRACT:
The invention relates to a linear prediction audio signal processing apparatus, such as a vocoder, including a nonlinear filter to attenuate the residual signal used to excite a linear prediction synthesis filter. The nonlinear filter is capable of reducing the noise component in the signal while keeping only the periodic component of the speech signal. This feature enhances speech quality. The invention also extends to a novel method for processing a residual signal used to excite a linear prediction synthesis filter in order to attenuate wide band additive noise in the speech signal as constructed by the synthesis filter.

REFERENCES:
patent: 5206884 (1993-04-01), Bhaskar
patent: 5444816 (1995-08-01), Adoul et al.
patent: 5699482 (1997-12-01), Adoul et al.
patent: 5708756 (1998-01-01), Wang et al.
patent: 5774837 (1998-06-01), Yeldener et al.
Man M. Sondhi, "New Methods of Pitch Extraction", Reprint from IEEE Trans. submitted!.
Tomohiko Taniguchi, et al., "Pitch Sharpening for Perceptually Improved CELP and the Sparse-Delta Codebook for Reduced Computation", IEEE, pp. 241-244, 1991.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Nonlinear filter for noise suppression in linear prediction spee does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Nonlinear filter for noise suppression in linear prediction spee, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Nonlinear filter for noise suppression in linear prediction spee will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-410319

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.