| Emotion Recognition Using Speech Features 2013 Edition Contributor(s): Rao, K. Sreenivasa (Author), Koolagudi, Shashidhar G. (Author) |
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ISBN: 1461451426 ISBN-13: 9781461451426 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: November 2012 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electronics - General - Language Arts & Disciplines | Linguistics - General - Computers | User Interfaces |
| Dewey: 006.454 |
| LCCN: 2012951407 |
| Series: Springerbriefs in Electrical and Computer Engineering / Spri |
| Physical Information: 0.4" H x 6.1" W x 9" (0.45 lbs) 124 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: "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. |