Emotion Recognition using Speech Features

K. Sreenivasa Rao, Shashidhar G. Koolagudi (Autoren)

Buch | Softcover

124 Seiten

2012
Springer-Verlag New York Inc.
978-1-4614-5142-6 (ISBN)

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“Emotion Recognition Using Speech Features” provides coverage of emotion-specific features present in speech. 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.

“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.

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

Introduction.- Speech Emotion Recognition: A Review.- Emotion Recognition Using Excitation Source Information.- Emotion Recognition Using Vocal Tract Information.- Emotion Recognition Using Prosodic Information.- Summary and Conclusions.- Linear Prediction Analysis of Speech.- MFCC Features.- Gaussian Mixture Model (GMM)

Erscheint lt. Verlag	7.11.2012
Reihe/Serie	SpringerBriefs in Speech Technology
Zusatzinfo	6 Illustrations, color; 24 Illustrations, black and white; XII, 124 p. 30 illus., 6 illus. in color.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft
	Informatik ► Software Entwicklung ► User Interfaces (HCI)
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Emotion-discriminative Information • emotion recognition • Emotion-specific Information • Excitation Source Features • Excitation Source Information • Global/Local Prosodic Features • Speech Processing Emotions • Vocal Tract Information
ISBN-10	1-4614-5142-6 / 1461451426
ISBN-13	978-1-4614-5142-6 / 9781461451426
Zustand	Neuware