Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission
Reexamination Certificate
2001-04-13
2003-12-16
{haeck over (S)}mits, T{overscore (a)}livaldis Ivars (Department: 2655)
Data processing: speech signal processing, linguistics, language
Speech signal processing
For storage or transmission
C704S219000
Reexamination Certificate
active
06665638
ABSTRACT:
BACKGROUND OF THE INVENTION
1. Field of Invention
The invention relates to methods and systems that compensate for noise in digitized speech.
2. Description of Related Art
As telecommunications plays an increasingly important role in modern life, the need to provide clear and intelligible voice channels increases commensurately. However, providing clear, noise-free and intelligible voice channels has traditionally required high-bit-rate communication links, which can be expensive. While lowering the bit-rate of a voice channel can reduce costs, low-bit-rates tend to introduce side-effects, such as quantization noise, which can reduce the clarity and/or intelligibility of voice signals. Unfortunately, removing noise in a voice signal generated by low-bit-rate channels can require excessive processing power and distort the voice signal. Accordingly, there is a need for new technology to provide better voice channels that reduce processing power requirements while minimizing distortion.
SUMMARY OF THE INVENTION
The invention provides the short-term post-filtering methods and systems for digital voice communications. Generally, post-filtering improves the perceptual quality of the synthesized signal and is widely used in current low-bit-rate speech coders. The common post-filter consists of three filters: a long-term post-filter, a short-term post-filter and a tilt compensation filter. The long-term post filter generally relates to improving perceptual quality of speech by emphasizing pitch periodicity. The short-term post filter, adaptively constructed from LPC coefficients, removes perceptible noise from synthesized or reconstructed speech by de-emphasizing speech frequency components related to spectral valleys, or local minima. The tilt compensation filter is required to compensate for spectral tilt caused by the short-term post-filter.
In various exemplary embodiments, a set of linear predictive coding (LPC) coefficients is used to derive a second set of LPC coefficients having a reduced order, which can subsequently be used to derive a low-order short-term post-filter based on the pseudo-cepstrum. The low-order short-term post-filter can then adaptively remove perceptible noise from synthesized or reconstructed speech by emphasizing speech frequency components related to the formants of the LPC coefficients and de-emphasizing speech frequency components related to the spectral valleys of the LPC coefficients. The short-term post-filter can also compensate for spectral distortion such as spectral tilt and minimize phase distortion.
Other features and advantages of the present invention will be described below or will become apparent from the accompanying drawings and from the detailed description which follows.
REFERENCES:
H. K. Kim, S. H. Choi, and H. S. Lee, “On approximating line spectral frequencies to LPC cepstral coefficients,” IEEE Trans. Speech Akudio Processing, vol. 8, No. 2, p. 195-199, Mar. 2000.*
Hong Kook Kim and Hong-Goo Kang, “A pseudo-cepstrum based short-term postfilter,” Proc. IEEE Workshop on Speech Coding, p. 99-101, Sep. 2000.
Kang Hong-Goo
Kim Hong Kook
AT&T Corp.
Oliff & Berridge
{haeck over (S)}mits T{overscore (a)}livaldis Ivars
LandOfFree
Adaptive short-term post-filters for speech coders does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Adaptive short-term post-filters for speech coders, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Adaptive short-term post-filters for speech coders will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3148017