By Mohamed Hesham Farouk
This e-book offers a survey on general of utilising wavelets research in numerous functions of speech processing. the writer examines improvement and learn in several functions of speech processing. The booklet additionally summarizes the cutting-edge learn on wavelet in speech processing.
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This publication offers a survey on primary of utilising wavelets research in numerous purposes of speech processing. the writer examines improvement and learn in several functions of speech processing. The e-book additionally summarizes the cutting-edge examine on wavelet in speech processing.
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Extra info for Application of Wavelets in Speech Processing
T. Shimizu, M. Kimoto, H. Yoshimura, N. Isu, K. Sugata, A method of coding lsp residual signals using wavelets for speech synthesis. Electr. Eng. Jpn. 148(3), 54–60 (2004) 10. S. Joseph, P. Anto, in The optimal wavelet for speech compression. Communications in Computer and Information Science, eds. by A. Abraham et al. ACC 2011, Part III, volume CCIS 192 (Springer, 2011), pp. 406–414 Chapter 11 Speech Detection and Separation Abstract Many methods which are used for speech detection usually fail when signal-to-noise ratio (SNR) is low.
Abraham et al. ACC 2011, Part III, volume CCIS 192 (Springer, 2011), pp. 406–414 Chapter 11 Speech Detection and Separation Abstract Many methods which are used for speech detection usually fail when signal-to-noise ratio (SNR) is low. The wavelet analysis has properties which can help in separating speech from noise. Many works report a better detection performance using wavelet analysis than other techniques. Á Keywords Speech detection Signal separation Zero-crossing rate Time energy Á Á Time–frequency analysis Á Speech detection means the localization of speech part in a signal containing other signals or noise.
Appl. 36(1), 321–332 (2009) 2. C. Tu, C. Juang, Recurrent type-2 fuzzy neural network using Haar wavelet energy and entropy features for speech detection in noisy environments. Expert Syst. Appl. 39(3), 2479–2488 (2012) 3. H. Chen, R. K. Truong, Y. Chang, Improved voice activity detection algorithm using wavelet and support vector machine. Comput. Speech Lang. 24(3), 531–543 (2010) 4. W. Xue, S. Du, C. Fang, Y. Ye, Voice activity detection using wavelet-based multiresolution spectrum and support vector machines and audio mixing algorithm.