Speech Enhancement: Theory and Practice (Signal Processing and Communications)


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Institute of Signal Processing and Speech Communication (4420)

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Write a review Rate this item: 1 2 3 4 5. Preview this item Preview this item. Series: Signal processing and communications , The coverage includes objective and subjective measures used to evaluate speech quality and intelligibility.

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Divided into three parts, the book presents the digital-signal processing and speech signal fundamentals needed to understand speech enhancement algorithms, the various classes of speech enhancement algorithms proposed over the last two decades, and the methods and measures used to evaluate the performance of speech enhancement algorithms. Read more Find a copy online Links to this item Table of contents Kostenfrei. Allow this favorite library to be seen by others Keep this favorite library private.

Find a copy in the library Finding libraries that hold this item Speech enhancement. Provides coverage of major speech enhancement algorithms. This book covers traditional speech enhancement algorithms, such as spectral subtraction and Wiener filtering algorithms as well as state-of-the-art algorithms including minimum mean-squared error algorithms that incorporate signal-presence uncertainty and subspace algorithms.

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Similar Items Related Subjects: 14 Speech processing systems. Signal processing -- Digital techniques. Image processing -- Digital techniques. Signal Processing, Computer-Assisted. Traitement automatique de la parole.


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Create Alert. Share This Paper. Topics from this paper. Colors of noise Database Acoustic cryptanalysis. Citations Publications citing this paper. IEEE Trans. Speech Signal Process, Malah, Speech enhancement using a minimum mean square error log-spectral amplitude estimator.


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  7. SSP, 2 : p. Malah, Speech enhancement using a minimum mean square error short-time spectral amplitude estimator.

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    ASSP 6 : p. Paliwal, Use of speech presence uncertainty with MMSE spectral energy estimation for robust automatic speech recognition. Speech Communication, 53 : p. Low distortion speech enhancement. Marro, and P. Vieira-Filho, Speech enhancement based on a priori signal to noise estimation, in Proc. Speech Signal Processing. Van Trees, A signal subspace approach for speech enhancement. Speech Audio Process.

    Speech Enhancement: Theory and Practice (Signal Processing and Communications) Speech Enhancement: Theory and Practice (Signal Processing and Communications)
    Speech Enhancement: Theory and Practice (Signal Processing and Communications) Speech Enhancement: Theory and Practice (Signal Processing and Communications)
    Speech Enhancement: Theory and Practice (Signal Processing and Communications) Speech Enhancement: Theory and Practice (Signal Processing and Communications)
    Speech Enhancement: Theory and Practice (Signal Processing and Communications) Speech Enhancement: Theory and Practice (Signal Processing and Communications)
    Speech Enhancement: Theory and Practice (Signal Processing and Communications) Speech Enhancement: Theory and Practice (Signal Processing and Communications)
    Speech Enhancement: Theory and Practice (Signal Processing and Communications) Speech Enhancement: Theory and Practice (Signal Processing and Communications)
    Speech Enhancement: Theory and Practice (Signal Processing and Communications) Speech Enhancement: Theory and Practice (Signal Processing and Communications)
    Speech Enhancement: Theory and Practice (Signal Processing and Communications) Speech Enhancement: Theory and Practice (Signal Processing and Communications)
    Speech Enhancement: Theory and Practice (Signal Processing and Communications) Speech Enhancement: Theory and Practice (Signal Processing and Communications)

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