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Shashidhar G.
Emotion Recognition using Speech Features
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3941816Emotion Recognition using Speech Featureshttps://www.gandhi.com.mx/emotion-recognition-using-speech-features-9781461451433/phttps://gandhi.vtexassets.com/arquivos/ids/3488610/cc670494-6fbe-4a84-bef0-1e52642f8428.jpg?v=6383854453854000009621069MXNSpringer New YorkInStock/Ebooks/<p>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.</p>...3877760Emotion Recognition using Speech Features9621069https://www.gandhi.com.mx/emotion-recognition-using-speech-features-9781461451433/phttps://gandhi.vtexassets.com/arquivos/ids/3488610/cc670494-6fbe-4a84-bef0-1e52642f8428.jpg?v=638385445385400000InStockMXN99999DIEbook20129781461451433_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9781461451433_<p>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.</p>(*_*)9781461451433_<p>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.</p>...9781461451433_Springer New Yorklibro_electonico_7fe7f0fc-25ea-3260-b921-18bbf92fc536_9781461451433;9781461451433_9781461451433Shashidhar G.InglésMéxico2012-11-07T00:00:00+00:00Springer New York