Emotion Recognition using Speech Features
Synopsis
“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.
Book details
- Edition:
- 2013
- Series:
- SpringerBriefs in Speech Technology
- Author:
- K. Sreenivasa Rao, Shashidhar G. Koolagudi
- ISBN:
- 9781461451433
- Related ISBNs:
- 9781461451426
- Publisher:
- Springer New York
- Pages:
- N/A
- Reading age:
- Not specified
- Includes images:
- Yes
- Date of addition:
- 2021-01-01
- Usage restrictions:
- Copyright
- Copyright date:
- 2013
- Copyright by:
- Springer New York, New York, NY
- Adult content:
- No
- Language:
- English
- Categories:
- Computers and Internet, Language Arts, Nonfiction, Technology