A nonlinear feature extraction approach for speech emotion recognition using VMD and TKEO

Author:

Ravi ,Taran Sachin

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference42 articles.

1. Klaus R. Scherer. “Vocal communication of emotion: A review of research paradigms”. In: Speech Communication 40.1-2 (2003), pp. 227–256. issn: 01676393.

2. Recognize basic emotional statesin speech by machine learning techniques using mel-frequency cepstral coefficient features;Yang;J. Intell. Fuzzy Syst.,2020

3. Emotion recognition from speech: a review;Koolagudi;Int. J. Speech Technol.,2012

4. Learning long-term temporal contexts using skip RNN for continuous emotion recognition;Huang;Virtual Real. Intellig. Hardware,2021

5. Deep learning and SVM-based emotion recognition from Chinese speech for smart affective services;Zhang;Software: Practice and Experience,2017

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