A novel dual attention-based BLSTM with hybrid features in speech emotion recognition-Reference-Cited by-同舟云学术

A novel dual attention-based BLSTM with hybrid features in speech emotion recognition

Published:2021-06 Issue: Volume:102 Page:104277
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Chen Qiupu^ORCID,Huang Guimin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference38 articles.

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2. Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011;Anagnostopoulos;Artif. Intell. Rev.,2015

3. Neural machine translation by jointly learning to align and translate;Bahdanau,2014

4. Emotion recognition from speech using convolutional neural network with recurrent neural network architecture;Basu,2017

5. Performing predefined tasks using the human–robot interaction on speech recognition for an industrial robot;Bingol;Eng. Appl. Artif. Intell.,2020

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