Robust Emotion Recognition using Spectral and Prosodic Features (Record no. 56460)
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fixed length control field | 03117nam a22005535i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-4614-6360-3 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421112038.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 130125s2013 xxu| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781461463603 |
-- | 978-1-4614-6360-3 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
100 1# - AUTHOR NAME | |
Author | Rao, K. Sreenivasa. |
245 10 - TITLE STATEMENT | |
Title | Robust Emotion Recognition using Spectral and Prosodic Features |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XII, 118 p. 37 illus., 15 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Electrical and Computer Engineering, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Robust Emotion Recognition using Pitch Synchronous and Sub-syllabic Spectral Features -- Robust Emotion Recognition using Word and Syllable Level Prosodic Features -- Robust Emotion Recognition using Combination of Excitation Source, Spectral and Prosodic Features -- Robust Emotion Recognition using Speaking Rate Features -- Emotion Recognition on Real Life Emotions -- Summary and Conclusions -- MFCC Features -- Gaussian Mixture Model (GMM). |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Koolagudi, Shashidhar G. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4614-6360-3 |
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Koha item type | eBooks |
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-- | New York, NY : |
-- | Springer New York : |
-- | Imprint: Springer, |
-- | 2013. |
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-- | computer |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | User interfaces (Computer systems). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational linguistics. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Image and Speech Processing. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | User Interfaces and Human Computer Interaction. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Language Translation and Linguistics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Linguistics. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2191-8112 |
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-- | ZDB-2-ENG |
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