Elbarougy, 2019 - Google Patents
Extracting a discriminative acoustic features from voiced segments for improving speech emotion recognition accuracyElbarougy, 2019
View PDF- Document ID
- 15182018370332316852
- Author
- Elbarougy R
- Publication year
- Publication venue
- Int. J. Adv. Res. Comput. Sci. Electron. Eng.
External Links
Snippet
Performance of speech emotion recognition (SER) system mainly depends on whether the extracted features are relevant to emotions conveyed in speech or not. Finding discriminative features for SER is a challenging problem until now. The common and …
- 238000000605 extraction 0 abstract description 15
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- G10L15/14—Speech classification or search using statistical models, e.g. hidden Markov models [HMMs]
- G10L15/142—Hidden Markov Models [HMMs]
- G10L15/144—Training of HMMs
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- G10H2210/031—Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal
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