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The Research of Speaker Recognition

Author: LiuWeiQing
Tutor: PengJinYe
School: Northwestern University
Course: Circuits and Systems
Keywords: Speaker Recognition Feature Extraction Vector quantization Wavelet Analysis Speech Enhancement
CLC: TN912.3
Type: Master's thesis
Year: 2005
Downloads: 250
Quote: 2
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Abstract


Speaker Recognition is an important voice signal processing technology , and is currently one of the hot . This paper has summarized previous work based on highlights of vector quantization and wavelet analysis theory in speaker recognition and made the work of the following aspects : 1 . In the Windows 2000 environment using VC 6.0 compiler system developed a real-time voice and data acquisition system , the establishment of a voice database to prepare for the follow-up research and testing . Studied the theory of vector quantization in speaker recognition , based on the variance weighted cepstrum algorithm analysis and experimental verification , the results show that the method is effective . Elaborated the principle of wavelet analysis theory is applied to speech enhancement , pre-processing and adaptive thresholding wavelet - based denoising algorithm applied to speaker recognition system . Experimental results show that this approach has the effect of speech enhancement , speaker recognition system used in noisy environments , to improve the robustness of the system .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Electro-acoustic technology and speech signal processing > Speech Signal Processing
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