Pattern Recognition in Speech and Language Processing 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Chou, Wu (EDT)/ Juang, Biing-Hwang (EDT) 作者

CRC Press

譯者

2003-2-26 出版日期

416 頁數

USD 231.00 價格

Hardcover

叢書系列

9780849312328 圖書編碼

Pattern Recognition in Speech and Language Processing 在線電子書圖書標籤: 模式識彆模式匹配機器學習語音研究語言學計算機科學計算機技術數學

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發表於2024-09-17

Pattern Recognition in Speech and Language Processing 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Pattern Recognition in Speech and Language Processing 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Pattern Recognition in Speech and Language Processing 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Pattern Recognition in Speech and Language Processing 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Pattern Recognition in Speech and Language Processing 在線電子書圖書描述

Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field. "Pattern Recognition in Speech and Language Processing" offers a systematic, up-to-date presentation of these recent developments. It begins with the fundamentals and recent theoretical advances in pattern recognition, with emphasis on classifier design criteria and optimization procedures. The focus then shifts to the application of these techniques to speech processing, with chapters exploring advances in applying pattern recognition to real speech and audio processing systems.The final section of the book examines topics related to pattern recognition in language processing: topics that represent promising new trends with direct impact on information processing systems for the Web, broadcast news, and other content-rich information resources. Each self-contained chapter includes figures, tables, diagrams, and references. The collective effort of experts at the forefront of the field, "Pattern Recognition in Speech and Language Processing" offers in-depth, insightful discussions on new developments and contains a wealth of information integral to the further development of human-machine communications.

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