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Titlebook: Contemporary Methods for Speech Parameterization; Todor Ganchev Book 2011 Springer Science+Business Media, LLC 2011 Cepstral coefficients.

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發(fā)表于 2025-3-21 18:53:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Contemporary Methods for Speech Parameterization
編輯Todor Ganchev
視頻videohttp://file.papertrans.cn/237/236612/236612.mp4
概述Provides numerous illustrations and comparative descriptions, which facilitate understanding of the properties and range of applicability of each speech parameterization technique
叢書(shū)名稱SpringerBriefs in Speech Technology
圖書(shū)封面Titlebook: Contemporary Methods for Speech Parameterization;  Todor Ganchev Book 2011 Springer Science+Business Media, LLC 2011 Cepstral coefficients.
描述.Contemporary Methods for Speech Parameterization. offers a general view of short-time cepstrum-based speech parameterization and provides a common ground for further in-depth studies on the subject. Specifically, it offers a comprehensive description, comparative analysis, and empirical performance evaluation of eleven contemporary speech parameterization methods, which compute short-time cepstrum-based speech features. .Among these are five discrete wavelet packet transform (DWPT)-based, six discrete Fourier transform (DFT)-based speech features and some of their variants which have been used on the speech recognition, speaker recognition, and other related speech processing tasks. The main similarities and differences in their computation are discussed and empirical results from performance evaluation in common experimental conditions are presented. The recognition accuracy obtained on the monophone recognition, continuous speech recognition and speaker recognition tasks is contrasted against the one obtained for the well-known and widely used Mel Frequency Cepstral Coefficients (MFCC). .It is shown that many of these methods lead to speech features that do offer competitive per
出版日期Book 2011
關(guān)鍵詞Cepstral coefficients; Fourier transforms; Speaker recognition; Speech parameterization; Speech recognit
版次1
doihttps://doi.org/10.1007/978-1-4419-8447-0
isbn_softcover978-1-4419-8446-3
isbn_ebook978-1-4419-8447-0Series ISSN 2191-737X Series E-ISSN 2191-7388
issn_series 2191-737X
copyrightSpringer Science+Business Media, LLC 2011
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發(fā)表于 2025-3-21 20:39:55 | 只看該作者
Todor GanchevProvides numerous illustrations and comparative descriptions, which facilitate understanding of the properties and range of applicability of each speech parameterization technique
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發(fā)表于 2025-3-22 01:56:53 | 只看該作者
SpringerBriefs in Speech Technologyhttp://image.papertrans.cn/c/image/236612.jpg
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https://doi.org/10.1007/978-1-4419-8447-0Cepstral coefficients; Fourier transforms; Speaker recognition; Speech parameterization; Speech recognit
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978-1-4419-8446-3Springer Science+Business Media, LLC 2011
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Adjustment to Medical Illnessnd may not always know how best to manage these feelings. The published literature recognizes that helping children and their families with effective coping strategies is beneficial and can optimize recovery and improve treatment outcomes (Eccleston et al. 2012; Coakley and Wihak 2017; Mechtel and Stoeckle 2017; Schonfeld and Demaria 2015).
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