文件名称:wavelet

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  • 语音合成与识别
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  • 2012-11-26
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  • ma***
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SPEECH ENHANCEMENT BASED ON WAVELET DENOISING



Abstract: - Noise is an unwanted and inevitable interference in any form of communication. It is

non-informative and plays the role of sucking the intelligence of the original signal. Any kind of

processing of the signal contributes to the noise addition. A signal traveling through the channel

also gathers lots of noise. It degrades the quality of the information signal. The effect of noise

could be reduced only at the cost of the bandwidth of the channel which is again undesired as

bandwidth is a precious resource. Hence to regenerate original signal, it is tried to reduce the

power of the noise signal or in the other way, raise the power level of the informative signal, at

the receiver end this leads to improvement in the signal to noise ratio (SNR). There are several

ways in doing it and here the focus is on adaptive Signal processing new technique (Grazing

Estimation method) to improving the signal to noise ratio.-SPEECH ENHANCEMENT BASED ON WAVELET DENOISING



Abstract:- Noise is an unwanted and inevitable interference in any form of communication. It is

non-informative and plays the role of sucking the intelligence of the original signal. Any kind of

processing of the signal contributes to the noise addition. A signal traveling through the channel

also gathers lots of noise. It degrades the quality of the information signal. The effect of noise

could be reduced only at the cost of the bandwidth of the channel which is again undesired as

bandwidth is a precious resource. Hence to regenerate original signal, it is tried to reduce the

power of the noise signal or in the other way, raise the power level of the informative signal, at

the receiver end this leads to improvement in the signal to noise ratio (SNR). There are several

ways in doing it and here the focus is on adaptive Signal processing new technique (Grazing

Estimation method) to improving the signal to noise ratio.
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