Multichannel CNN-BLSTM Architecture for Speech Emotion Recognition System by Fusion of Magnitude and Phase Spectral Features Using DCCA for Consumer Applications-Reference-Cited by-同舟云学术

Multichannel CNN-BLSTM Architecture for Speech Emotion Recognition System by Fusion of Magnitude and Phase Spectral Features Using DCCA for Consumer Applications

Published:2023-05 Issue:2 Volume:69 Page:226-235
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Prabhakar Gudmalwar Ashishkumar¹^ORCID,Basel Biplove¹^ORCID,Dutta Anirban¹^ORCID,Rama Rao Ch. V.²^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, National Institute of Technology, Shillong, India

2. Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/30/10107646/10017345.pdf?arnumber=10017345

Reference59 articles.

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4. Improving Speech Emotion Recognition Using Graph Attentive Bi-Directional Gated Recurrent Unit Network

5. Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognition;dimitrios;Signal Process,2008

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