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Method for noise robust classification in speech coding

A speech coding and noise technology, applied in speech analysis, instruments, etc., can solve the problems of consuming digital signal processor capacity and storage space, complex algorithms, etc.

Inactive Publication Date: 2003-10-08
WIAV SOLUTIONS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these algorithms are very complex and consume digital signal processor (DSP) power and memory space

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  • Method for noise robust classification in speech coding
  • Method for noise robust classification in speech coding
  • Method for noise robust classification in speech coding

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Embodiment Construction

[0016] The present invention relates to an improved method of speech classification in the presence of background noise. Although the methods for voice communications, and in particular the classification methods disclosed herein, are particularly suitable for cellular telephone communications, the present invention is not limited thereto. For example, the classification method of the present invention is well applicable to various voice communication scenarios, such as PSTN (Public Switched Telephone Network), wireless, voice over IP (Internet Protocol), and the like.

[0017] Unlike prior art methods, the present invention discloses a method of representing perceptually important features of an input signal and performing perceptual matching rather than waveform matching. It should be understood that the method of speech classification represented by the present invention may be part of a larger speech encoding algorithm. Algorithms for speech coding are widely known in the...

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Abstract

A method for robust speech classification in speech coding and, in particular, for robust classification in the presence of background noise is herein provided. A noise-free set of parameters derived, thereby reducing the adverse effects of background noise on the classification process. The speech signal is identified as speech or non-speech. A set of basic parameters is derived for the speech frame, then the noise component of the parameters is estimated and removed. If the frame is non-speech, the noise estimations are updated. All the parameters are then compared against a predetermined set of thresholds. Because the background noise has been removed from the parameters, the set of thresholds is largely unaffected by any changes in the noise. The frame is classified into any number of classes, thereby emphasizing the perceptually important features by performing perceptual matching rather than waveform matching.

Description

technical field [0001] The present invention generally relates to an improved speech classification method, in particular to a robust speech classification method in speech coding. Background technique [0002] With respect to voice communications, background noise may include passing drivers, aircraft overhead, babble noise such as restaurant / coffee shop type noise, music, and many other audible noises. Cellular telephone technology has brought the convenience of being able to communicate anywhere that wireless signals can be received and transmitted. However, the downside of the so-called "cellular age" is that telephone conversations may no longer be private or in areas that are actually suitable for communication. For example, once the cellular phone rings and the user answers, voice communication is carried out regardless of whether the user is in a quiet park or near a noisy jackhammer. Thus, the effect of background noise is a major concern for cellular telephone us...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L11/02G10L19/14G10L21/02G10L25/93
CPCG10L2025/783G10L2021/02168G10L19/22G10L21/0208G10L25/78
Inventor J·塞斯
Owner WIAV SOLUTIONS LLC
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