Enhancing Speech Emotion Recognition Using Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Enhancing Speech Emotion Recognition Using Deep Convolutional Neural Networks

Published:2024-05-24 Issue: Volume: Page:95-100
ISSN:
Container-title:2024 9th International Conference on Machine Learning Technologies (ICMLT)
language:
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Author:

Islam M M Manjurul¹^ORCID,Kabir Md Alamgir²^ORCID,Sheikh Alamin³^ORCID,Saiduzzaman Muhammad³^ORCID,Hafid Abdelakram⁴^ORCID,Abdullah Saad⁴^ORCID

Affiliation:

1. Intelligent System Research Centre, Ulster University, UK

2. Artificial Intelligence and Intelligent Systems Research Group, Malardalen University, Sweden

3. American International University-Bangladesh, Bangladesh

4. School of Innovation,Design and Engineering, Malardalen University, Sweden

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3674029.3674045

Reference27 articles.

1. LIGHT-SERNET: A Lightweight Fully Convolutional Neural Network for Speech Emotion Recognition

2. Characteristics of human voice processing

3. Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features

4. Real-Time Speech Emotion Analysis for Smart Home Assistants

5. Exploring Wav2vec 2.0 Fine Tuning for Improved Speech Emotion Recognition

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