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An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition · Study

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ArticleAn ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition

Md. Rayhan Ahmed2023

OA

Articlegreen2023

An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition

Md. Rayhan Ahmed · Salekul Islam · Ph. D. · Swakkhar Shatabda

197 citations·0/0 files stored·Expert Systems with Applications

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Emotion and Mood Recognition Speech Recognition and Synthesis Music and Audio Processing

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 197 citations exist upstream.

References

2005A database of German emotional speech 2018The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks 2014CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers 2019Speech Emotion Recognition Using Deep Learning Techniques: A Review 2020Speech emotion recognition with deep convolutional neural networks 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition

Cited by

2023A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise 2024Multimodal Emotion Recognition Using Visual, Vocal and Physiological Signals: A Review 2024A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis 2023Multiscale-multichannel feature extraction and classification through one-dimensional convolutional neural network for Speech emotion recognition

Details

Year2023

Typearticle

Published2023-02-01

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations197

Files0 public / 0

ShelfEmotion and Mood Recognition

Identifiers

doi10.1016/j.eswa.2023.119633

openalex_workW4226136391

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