Method and device for controlling noise, smoothing speech manual, extracting speech characteristic, phonetic recognition and training phonetic mould

A noise suppression and speech feature technology, applied in the field of speech spectrum smoothing technology, can solve problems such as suboptimal speech recognition, degradation of recognition performance, and huge amount of calculations

Inactive Publication Date: 2007-12-19
KK TOSHIBA
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  • Summary
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Problems solved by technology

[0005] 1. The calculation of the confluent hypergeometric function (calculated by summing the Taylor series) will lead to a huge amount of calculation
[0006] 2. Due to the excessive suppression of noise, the extremely low energy in some frequency bands will cause the degradation of recognition performance
[0007] 3. The strategy in MMSE estimation is not optimal for speech recognition

Method used

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  • Method and device for controlling noise, smoothing speech manual, extracting speech characteristic, phonetic recognition and training phonetic mould
  • Method and device for controlling noise, smoothing speech manual, extracting speech characteristic, phonetic recognition and training phonetic mould
  • Method and device for controlling noise, smoothing speech manual, extracting speech characteristic, phonetic recognition and training phonetic mould

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Embodiment Construction

[0045] In order to facilitate the understanding of the following embodiments, the principle of the minimum mean square error estimation is briefly introduced first.

[0046] The minimum mean square error estimation is a speech enhancement algorithm, which uses the estimated spectrum of the background noise to suppress the noise in the noisy speech spectrum. Specifically, the minimum mean square error estimation is performed by the following formula (1):

[0047] A ^ k = C υ k γ k M ( υ k ) R k - - - ( 1 )

[0048] in υ k = ...

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Abstract

A method for suppressing noise includes applying sectioned linear function to approximate interflow supergeomatric function and utilizing geometric column weight to carry out time axis smooth and frequency axis smooth on voice chart composition after minimum mean square error is estimated as well as regulating verified SNR for controlling balance between noise suppression and voice distortion.

Description

technical field [0001] The invention relates to speech recognition technology, noise suppression technology and speech spectrum smoothing technology of speech spectrum. Background technique [0002] The current popular speech recognition system can achieve very high recognition accuracy for pure speech, but due to the mismatch between the acoustic model and the acoustic features brought about by the noise, the performance of the existing speech recognition system will drop sharply in the noisy environment. [0003] Work on noise robustness has mainly focused on front-end design to reduce noise-induced mismatches in the speech feature space. The minimum mean-square error (Minimum Mean-Square Error, MMSE) estimation is a speech enhancement algorithm, which can effectively suppress the background noise, thereby improving the signal-to-noise ratio (Signal-to-Noise Ratio, SNR) of the input signal. For the minimum mean square error estimation, in the literature "Speech enhancemen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/02G10L15/20G10L15/02G10L15/00G10L15/06
CPCG10L15/02G10L21/0208G10L15/20
Inventor 丁沛何磊郝杰
Owner KK TOSHIBA
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