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Robust Emotion Recognition using Spectral and Prosodic Features
Rao, K. Sreenivasa; Koolagudi, Shashidhar G.
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Description for Robust Emotion Recognition using Spectral and Prosodic Features
paperback. Series: Springerbriefs in Electrical and Computer Engineering / Springerbriefs in Speech Technology. Num Pages: 118 pages, 22 black & white illustrations, 15 colour illustrations, 46 black & white tables, biograp. BIC Classification: CFX; TTBM; UYQL; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 213.
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.
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer/Sci-Tech/Trade United States
Number of pages
118
Condition
New
Series
Springerbriefs in Electrical and Computer Engineering / Springerbriefs in Speech Technology
Number of Pages
118
Place of Publication
New York, NY, United States
ISBN
9781461463597
SKU
V9781461463597
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Rao, K. Sreenivasa; Koolagudi, Shashidhar G.
K. Sreenivasa Rao is at Indian Institute of Technology, Kharagpur, India. Shashidhar G, Koolagudi is at Graphic Era University, Dehradun, India.
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