Synopsis
Following the introduction, Chapter-2 outlines the review of the most common and recently reported Speech enhancement techniques, with particular focus on Spectral Subtraction, Wiener filter and DWT Hybrid Thresholding the multitaper spectrum based Speech Enhancement algorithms which are the basis of this work. The shape of the analysis Window is also investigated in the present work, different adjustable Windows, the mathematical background and their important characteristics have been discussed in this chapter. This chapter also gives a detailed overview of standard six objective Speech quality measures that have been used in this work to quantify the results of the present work. In Chapter -3, the details of Spectral Subtraction algorithm and its drawbacks have been presented. To overcome the drawbacks Multiband Spectral Subtraction algorithm has also been discussed in this chapter. Comparative performance analysis has been exploited for Four Window viz., Kaiser Window, Dolph Chebyshev Window, Gaussian Window and recently proposed Polynomial Window used in both Spectral Subtraction and Multi Band Spectral Subtraction Speech Enhancement processes with different Practical noise
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Wavelet Hybrid Threshold and Window Functions for Speech Enhancement
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Following the introduction, Chapter-2 outlines the review of the most common and recently reported Speech enhancement techniques, with particular focus on Spectral Subtraction, Wiener filter and DWT Hybrid Thresholding the multitaper spectrum based Speech Enhancement algorithms which are the basis of this work. The shape of the analysis Window is also investigated in the present work, different adjustable Windows, the mathematical background and their important characteristics have been discussed in this chapter. This chapter also gives a detailed overview of standard six objective Speech quality measures that have been used in this work to quantify the results of the present work. In Chapter -3, the details of Spectral Subtraction algorithm and its drawbacks have been presented. To overcome the drawbacks Multiband Spectral Subtraction algorithm has also been discussed in this chapter. Comparative performance analysis has been exploited for Four Window viz., Kaiser Window, Dolph Chebyshev Window, Gaussian Window and recently proposed Polynomial Window used in both Spectral Subtraction and Multi Band Spectral Subtraction Speech Enhancement processes with different Practical noise 280 pp. Englisch. Seller Inventory # 9786139898404
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Wavelet Hybrid Threshold and Window Functions for Speech Enhancement
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sonagiri Dr. China VenkateswarluDr.S.China Venkateswarlu ,He obtained his B.Tech (ECE) from S.V.H.College of Engineering affiliated to Nagarjuna University A.P, INDIA. He earned his M.Tech (DSCE) from JNTUH-Hyderabad, He earned his P. Seller Inventory # 385876431
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Wavelet Hybrid Threshold and Window Functions for Speech Enhancement
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Taschenbuch. Condition: Neu. Wavelet Hybrid Threshold and Window Functions for Speech Enhancement | China Venkateswarlu Sonagiri (u. a.) | Taschenbuch | 280 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139898404 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 117346291
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Wavelet Hybrid Threshold and Window Functions for Speech Enhancement
Published by
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ISBN 10: 6139898404
ISBN 13: 9786139898404
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Following the introduction, Chapter-2 outlines the review of the most common and recently reported Speech enhancement techniques, with particular focus on Spectral Subtraction, Wiener filter and DWT Hybrid Thresholding the multitaper spectrum based Speech Enhancement algorithms which are the basis of this work. The shape of the analysis Window is also investigated in the present work, different adjustable Windows, the mathematical background and their important characteristics have been discussed in this chapter. This chapter also gives a detailed overview of standard six objective Speech quality measures that have been used in this work to quantify the results of the present work. In Chapter -3, the details of Spectral Subtraction algorithm and its drawbacks have been presented. To overcome the drawbacks Multiband Spectral Subtraction algorithm has also been discussed in this chapter. Comparative performance analysis has been exploited for Four Window viz., Kaiser Window, Dolph Chebyshev Window, Gaussian Window and recently proposed Polynomial Window used in both Spectral Subtraction and Multi Band Spectral Subtraction Speech Enhancement processes with different Practical noiseBooks on Demand GmbH, Überseering 33, 22297 Hamburg 280 pp. Englisch. Seller Inventory # 9786139898404
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Wavelet Hybrid Threshold and Window Functions for Speech Enhancement
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ISBN 10: 6139898404
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Following the introduction, Chapter-2 outlines the review of the most common and recently reported Speech enhancement techniques, with particular focus on Spectral Subtraction, Wiener filter and DWT Hybrid Thresholding the multitaper spectrum based Speech Enhancement algorithms which are the basis of this work. The shape of the analysis Window is also investigated in the present work, different adjustable Windows, the mathematical background and their important characteristics have been discussed in this chapter. This chapter also gives a detailed overview of standard six objective Speech quality measures that have been used in this work to quantify the results of the present work. In Chapter -3, the details of Spectral Subtraction algorithm and its drawbacks have been presented. To overcome the drawbacks Multiband Spectral Subtraction algorithm has also been discussed in this chapter. Comparative performance analysis has been exploited for Four Window viz., Kaiser Window, Dolph Chebyshev Window, Gaussian Window and recently proposed Polynomial Window used in both Spectral Subtraction and Multi Band Spectral Subtraction Speech Enhancement processes with different Practical noise. Seller Inventory # 9786139898404
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Wavelet Hybrid Threshold and Window Functions for Speech Enhancement
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