Emotion Recognition using Speech Features

Emotion Recognition Using Speech Features '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. Autor: Shashidhar G. Koolagudi, K. Sreenivasa Rao Wydawnictwo: Springer New York Rok wydania: 2012 Okładka: miękka Liczba stron: 136 Wymiary: 23.5 x 15.5 x 1.0 cm Język: angielski ISBN: 9781461451426