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Titlebook: Emotion Recognition using Speech Features; K. Sreenivasa Rao,Shashidhar G. Koolagudi Book 2013 Springer Science+Business Media New York 20

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發(fā)表于 2025-3-23 10:39:10 | 只看該作者
K. Sreenivasa Rao,Shashidhar G. KoolagudiDiscusses complete state-of -art features, models and databases in the context of emotion recognition.Explores implicit and explicit excitation source features for discriminating the emotions.Proposes
12#
發(fā)表于 2025-3-23 16:02:05 | 只看該作者
SpringerBriefs in Speech Technologyhttp://image.papertrans.cn/e/image/308628.jpg
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發(fā)表于 2025-3-23 21:56:37 | 只看該作者
14#
發(fā)表于 2025-3-24 00:30:25 | 只看該作者
Summary and Conclusions,This chapter summarizes the research work presented in this book, highlights the contributions of the work and discusses the scope for future work.
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發(fā)表于 2025-3-24 06:14:14 | 只看該作者
16#
發(fā)表于 2025-3-24 07:08:57 | 只看該作者
Book 2013s for capturing emotion-specific information for distinguishing different emotions.? The content of this book is important for designing and developing? natural and sophisticated speech systems. In this Brief, Drs. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded i
17#
發(fā)表于 2025-3-24 12:18:24 | 只看該作者
H. J. Goldschmidt D.Sc., F.Inst.P., F.I.M.) are given. Two emotional speech databases are introduced to validate the proposed excitation source features. Functionality of classification models such as auto-associative neural networks and support vector machines is briefly explained. Finally, recognition performance using the proposed excitation source features is analyzed in detail.
18#
發(fā)表于 2025-3-24 15:48:18 | 只看該作者
Emotion Recognition Using Excitation Source Information,) are given. Two emotional speech databases are introduced to validate the proposed excitation source features. Functionality of classification models such as auto-associative neural networks and support vector machines is briefly explained. Finally, recognition performance using the proposed excitation source features is analyzed in detail.
19#
發(fā)表于 2025-3-24 21:28:15 | 只看該作者
2191-737X ion source features for discriminating the emotions.Proposes“Emotion Recognition Using Speech Features” provides coverage of emotion-specific features present in speech. The author also discusses suitable models for capturing emotion-specific information for distinguishing different emotions.? The c
20#
發(fā)表于 2025-3-25 02:48:07 | 只看該作者
Diffus verteiltes interstellares Gas,cognition systems developed using excitation source, vocal tract system and prosodic features is briefly presented. Basic pattern classification models used for discriminating the emotions are discussed in brief. Finally, the chapter concludes with motivation and scope of the work presented in this book.
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