Items related to Emotion Recognition using Speech Features
Synopsis
Contents 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Emotion: Psychological perspective . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.2 Emotion: Speech signal perspective . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.2.1 Speech production mechanism . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.2.2 Source features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.2.3 System features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.2.4 Prosodic features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3 Emotional speech databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.4 Applications of speech emotion recognition . . . . . . . . . . . . . . . . . . . . 9 1.5 Issues in speech emotion recognition . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.6 Objectives and scope of the work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1.7 Main highlights of research investigations . . . . . . . . . . . . . . . . . . . . . . 12 1.8 Brief overview of contributions to this book . . . . . . . . . . . . . . . . . . . . 12 1.8.1 Emotion recognition using excitation source information . . . 12 1.8.2 Emotion recognition using vocal tract information . . . . . . . . . 12 1.8.3 Emotion recognition using prosodic information . . . . . . . . . . 13 1.9 Organization of the book . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.1 Emotion: Psychological perspective . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.2 Emotion: Speech signal perspective . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2.1 Speech production mechanism . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.2 Source features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.3 System features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.4 Prosodic features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3 Emotional speech databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.4 Applications of speech emotion recognition . . . . . . . . . . . . . . . . . . . . 9 1.5 Issues in speech emotion recognition . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.6 Objectives and scope of the work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1.7 Main highlights of research investigations . . . . . . . . . . . . . . . . . . . . . . 12 1.8 Brief overview of contributions to this book . . . . . . . . . . . . . . . . . . . . 12 1.8.1 Emotion recognition using excitation source information . . . 12 1.8.2 Emotion recognition using vocal tract information . . . . . . . . . 12 1.8.3 Emotion recognition using prosodic information . . . . . . . . . . 13 1.9 Organization of the book . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Emotion: Psychological perspective . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Emotion: Speech signal perspective . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2.1 Speech production mechanism . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.2 Source features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.3 System features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.4 Prosodic features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3 Emotional speech databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.4 Applications of speech emotion recognition . . . . . . . . . . . . . . . . . . . . 9 1.5 Issues in speech emotion recognition"synopsis" may belong to another edition of this title.
From the Back Cover
“Emotion Recognition Using Speech Features” covers emotion-specific features present in speech and discussion of 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.
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 using evidence derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions.
Discussion includes global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; use of complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; and proposed multi-stage and hybrid models for improving the emotion recognition performance.
About the Author
K. Sreenivasa Rao is at the Indian Institute of Technology, Kharagpur, India.
Shashidhar G, Koolagudi is at the Graphic Era University, Dehradun, India.
"About this title" may belong to another edition of this title.
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