A novel stochastic deep conviction network for emotion recognition in speech signal-Reference-Cited by-同舟云学术

A novel stochastic deep conviction network for emotion recognition in speech signal

Published:2020-04-30 Issue:4 Volume:38 Page:5175-5190
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Shukla Shilpi¹,Jain Madhu²

Affiliation:

1. Assistant Professor, Mahatma Gandhi Mission’s College of Engineering and Technology, Noida, Uttar Pradesh, India

2. Associate Professor, Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida, (Uttar Pradesh), India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference36 articles.

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3. Anger or joy? Emotion recognition using nonlinear dynamics of speech;Harimi;Applied Artificial Intelligence,2015

4. Ensemble the softmax regression model for speech emotion recognition;Sun;Multimedia Tools and Applications,2017

5. Feature vector classification-based speech emotion recognition for service robots;Park;IEEE Transactions on Consumer Electronics,2009

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