K. Sreenivasa Rao Shashidhar G. Koolagudi Rao Robust Emotion Recognition using Spectral and Prosodic Features

Robust Emotion Recognition using Spectral and Prosodic Features

von K. Sreenivasa Rao Shashidhar G. Koolagudi

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Beschreibung

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.


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.
Deals with emotions in terms of how to characterize the emotions, how to acquire the emotion-specific information from speech conversations and finally how to incorporate the acquired emotion-specific information to synthesize the desired emotions Proposes pitch synchronous and sub-syllabic spectral features for characterizing emotions Explores global and local prosodic features at syllable, word and phrase levels to capture the emotion-discriminative information Demonstrates real life emotions using hierarchical models based on speaking rate Includes supplementary material: sn.pub/extras

Autor*in

K. Sreenivasa Rao

Themen in »Robust Emotion Recognition using Spectral and Prosodic Features«

Speaking Rate Sub-syllabic Spectral Features Syllable-level Prosidic Features communication pitch pitch synchronous prosodic spectral speech emotion recognition speech signal

Stimmen zu »Robust Emotion Recognition using Spectral and Prosodic Features«

Details

ISBN: 9781461463597
Verlag: Springer US
Erscheinung: 12.01.2013

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