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Titlebook: Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition; Leena Mary Book 2019Latest edition The Author(s), u

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發(fā)表于 2025-3-21 19:47:12 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition
編輯Leena Mary
視頻videohttp://file.papertrans.cn/320/319964/319964.mp4
概述Fully updated coverage of prosody from the speech processing perspective.Features new applications for prosody for speech processing and how to incorporate them.Provides newly discovered techniques fo
叢書名稱SpringerBriefs in Speech Technology
圖書封面Titlebook: Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition;  Leena Mary Book 2019Latest edition The Author(s), u
描述.This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech processing applications; builds on why prosody needs to be incorporated in speech processing applications; and presents? methods for extraction and representation of prosody for applications such as? speaker recognition, language recognition and speech recognition. The updated book also includes information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech..
出版日期Book 2019Latest edition
關(guān)鍵詞Electronic speech processing; Language recognition; Prosody in speech; Speech processing; Speech process
版次2
doihttps://doi.org/10.1007/978-3-319-91171-7
isbn_softcover978-3-319-91170-0
isbn_ebook978-3-319-91171-7Series ISSN 2191-737X Series E-ISSN 2191-7388
issn_series 2191-737X
copyrightThe Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nat
The information of publication is updating

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發(fā)表于 2025-3-21 23:29:45 | 只看該作者
A two-period stochastic inventory modelt techniques suggested for automatic extraction of prosodic features are described. The techniques are broadly classified as automatic speech recognizer (ASR)-free and ASR-based approaches. Techniques are further classified on the basis of segmentation approach.
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發(fā)表于 2025-3-22 01:42:43 | 只看該作者
Extraction and Representation of Prosody for Speaker, Language, Emotion, and Speech Recognition,t techniques suggested for automatic extraction of prosodic features are described. The techniques are broadly classified as automatic speech recognizer (ASR)-free and ASR-based approaches. Techniques are further classified on the basis of segmentation approach.
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978-3-319-91170-0The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nat
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SpringerBriefs in Speech Technologyhttp://image.papertrans.cn/e/image/319964.jpg
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