| 书目名称 | Contemporary Methods for Speech Parameterization |
| 编辑 | Todor Ganchev |
| 视频video | http://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 |
| 丛书名称 | SpringerBriefs in Speech Technology |
| 图书封面 |  |
| 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 |
| 关键词 | Cepstral coefficients; Fourier transforms; Speaker recognition; Speech parameterization; Speech recognit |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4419-8447-0 |
| isbn_softcover | 978-1-4419-8446-3 |
| isbn_ebook | 978-1-4419-8447-0Series ISSN 2191-737X Series E-ISSN 2191-7388 |
| issn_series | 2191-737X |
| copyright | Springer Science+Business Media, LLC 2011 |
|Archiver|手机版|小黑屋|
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