ENGLISH

Robust Emotion Recognition using Spectral and Prosodic Features

By K. Sreenivasa Rao , Shashidhar G. Koolagudi (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2013
ISBN
978-1-4614-6359-7, 978-1-4614-6360-3
DOI
10.1007/978-1-4614-6360-3
Language
english
Format
PDF
Filesize
2 MB (2246844 bytes)
Series
SpringerBriefs in Electrical and Computer Engineering
Edition
1
Pages
118\126
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Image and Speech Processing; User Interfaces and HSignal

Description

In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner. The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus.

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