Emotion Recognition using Speech Features

1. Front Matter

   Pages i-xii

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2. Introduction

   • Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi

   Pages 1-14

3. Speech Emotion Recognition: A Review

   • Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi

   Pages 15-34

4. Emotion Recognition Using Excitation Source Information

   • Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi

   Pages 35-66

5. Emotion Recognition Using Vocal Tract Information

   • Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi

   Pages 67-78

6. Emotion Recognition Using Prosodic Information

   • Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi

   Pages 79-91

7. Summary and Conclusions

   • Sreenivasa Rao Krothapalli, Shashidhar G. Koolagudi

   Pages 93-98

8. Back Matter

   Pages 99-124

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“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.

• Emotion Recognition
• Emotion-discriminative Information
• Emotion-specific Information
• Excitation Source Features
• Excitation Source Information
• Global/Local Prosodic Features
• Speech Processing Emotions
• Vocal Tract Information

• , School of Information Technology, Indian Institute of Technology, Kharagpur, India

  K. Sreenivasa Rao, Shashidhar G. Koolagudi

K. Sreenivasa Rao is at the Indian Institute of Technology, Kharagpur, India.
Shashidhar G, Koolagudi is at the Graphic Era University, Dehradun, India.

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