TY  - BOOK
AU  - Rao,K.Sreenivasa
AU  - Koolagudi,Shashidhar G.
ED  - SpringerLink (Online service)
TI  - Emotion Recognition using Speech Features
T2  - SpringerBriefs in Electrical and Computer Engineering, SpringerBriefs in Speech Technology,
SN  - 9781461451433
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2013///
CY  - New York, NY
PB  - Springer New York, Imprint: Springer
KW  - Engineering
KW  - User interfaces (Computer systems)
KW  - Computational linguistics
KW  - Signal, Image and Speech Processing
KW  - User Interfaces and Human Computer Interaction
KW  - Computational Linguistics
N1  - 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)
N2  - “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
UR  - http://dx.doi.org/10.1007/978-1-4614-5143-3
ER  -