Hierarchical classifier design for speech emotion recognition in the mixed-cultural environment-Reference-Cited by-同舟云学术

Hierarchical classifier design for speech emotion recognition in the mixed-cultural environment

Published:2020-06-04 Issue: Volume: Page:1-16
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Vasuki P.¹^ORCID,Aravindan Chandrabose²^ORCID

Affiliation:

1. Department of IT, SSN College of Engineering, Chennai, India

2. Department of CSE, SSN College of Engineering, Chennai, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2020.1764630

Reference48 articles.

1. Badshah, A., Rahim, M., Ullah, N., Ahmad, N., Muhammad, J., Lee, K., Kwon, M. Y., Baik, S. & Wook, S. (2017). Speech emotion recognition using deep neural network and extreme learning machine. Multimedia and Application 2017.

2. Speaker dependent, speaker independent and cross language emotion recognition from speech using GMM and HMM

3. Class-level spectral features for emotion recognition

4. Determining optimal signal features and parameters for HMM-based emotion classification

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