Development and Analysis of Convolutional Neural Network based Accurate Speech Emotion Recognition Models

Author:

Vijayan Divya M1,V Arun A1,R Ganeshnath2,A Ajay Nath S1,Roy Rajesh Cherian3

Affiliation:

1. Model Engineering College,Dept. of Electronics,Kochi Ernakulam,India

2. TKM College of Engineering,Dept. of Electronics,Kollam,India

3. Muthoot Institute of Technology & Science,Dept. of Computer Science,Ernakulam,India

Publisher

IEEE

Reference18 articles.

1. Attention is all you need;vaswani;Advances in neural information processing systems,2017

2. An efficient MFCC extraction method in speech recognition;han;IEEE International Symposium on Circuits and Systems,2006

3. Speech-Transformer: A No-Recurrence Sequence-to-Sequence Model for Speech Recognition

4. CTNet: Conversational Transformer Network for Emotion Recognition

5. Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network

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