| 书目名称 | Speech Spectrum Analysis | | 编辑 | Sean A. Fulop | | 视频video | | | 概述 | Spectrum analysis understandable even without a solid background in general signal processing.Provides in Matlab sources for immediate implementation focus on applications to speech.Analysis and the m | | 丛书名称 | Signals and Communication Technology | | 图书封面 |  | | 描述 | The accurate determination of the speech spectrum, particularly for short frames, is commonly pursued in diverse areas including speech processing, recognition, and acoustic phonetics.With this book the author makes the subject of spectrum analysis understandable to a wide audience, including those with a solid background in general signal processing and those without such background.In keeping with these goals, this is not a book that replaces or attempts to cover the material found in a general signal processing textbook.Some essential signal processing concepts are presented in the first chapter, but even there the concepts are presented in a generally understandable fashion as far as is possible.Throughout the book, the focus is on applications to speech analysis; mathematical theory is provided for completeness, but these developments are set off in boxes for the benefit of those readers with sufficient background.Other readers may proceed through the main text, where the key results and applications will be presented in general heuristic terms, and illustrated with software routines and practical "show-and-tell" discussions of the results.At some points, the book refers to an | | 出版日期 | Book 2011 | | 关键词 | Best parametric approach; DSP; Fourier Power Spectrum; Matlab; Praat; Wavelets; linear Prediction | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-17478-0 | | isbn_softcover | 978-3-642-26840-3 | | isbn_ebook | 978-3-642-17478-0Series ISSN 1860-4862 Series E-ISSN 1860-4870 | | issn_series | 1860-4862 | | copyright | Springer-Verlag Berlin Heidelberg 2011 |
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发表于 2025-3-21 16:20:37
