Emotion Recognition using Speech Features is popular PDF and ePub book, written by K. Sreenivasa Rao in 2012-11-07, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Emotion Recognition using Speech Features can be Read Online from any device for your convenience.
Emotion Recognition using Speech Features Book PDF Summary
“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 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 in speech and how to acquire emotion-specific knowledge using appropriate statistical models. Additionally, the authors provide information about exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of: • Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; • Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; • Proposed multi-stage and hybrid models for improving the emotion recognition performance. This brief is for researchers working in areas related to speech-based products such as mobile phone manufacturing companies, automobile companies, and entertainment products as well as researchers involved in basic and applied speech processing research.
Detail Book of Emotion Recognition using Speech Features PDF
- Author : K. Sreenivasa Rao
- Release : 07 November 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461451433
- Genre : Technology & Engineering
- Total Page : 134 pages
- Language : English
- PDF File Size : 19,5 Mb
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