9786139898404 - wavelet hybrid threshold and window functions for speech enhancement von sonagiri, dr. china venkateswarlu; agala, dr. a. subbarami reddy; kodati, dr. satya prasad (6 Ergebnisse)
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Taschenbuch. Zustand: 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.
Wavelet Hybrid Threshold and Window Functions for Speech Enhancement
Sonagiri, Dr. China Venkateswarlu/ Kodati, Dr. Satya Prasad/ Agala, Dr. A. SubbaRami Reddy
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Paperback. Zustand: Brand New. 280 pages. 8.66x5.91x0.64 inches. In Stock.
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Taschenbuch. Zustand: 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.
Wavelet Hybrid Threshold and Window Functions for Speech Enhancement
Dr. China Venkateswarlu Sonagiri|Dr. A. SubbaRami Reddy Agala|Dr. Satya Prasad Kodati
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Zustand: 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 JNT…UH-Hyderabad, He earned his P.
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Taschenbuch. Zustand: 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 spec…trum 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 noiseVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 280 pp. Englisch.
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Taschenbuch. Zustand: 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 spect…rum 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.
