Speech emotion recognition using convolutional and Recurrent Neural Networks-Reference-Cited by-同舟云学术

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Speech emotion recognition using convolutional and Recurrent Neural Networks

Published:2016-12 Issue: Volume: Page:
ISSN:
Container-title:2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)
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Author:

Lim Wootaek,Jang Daeyoung,Lee Taejin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7803478/7820670/07820699.pdf?arnumber=7820699

Cited by 222 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Newman-Watts-Strogatz topology in deep echo state networks for speech emotion recognition;Engineering Applications of Artificial Intelligence;2024-07

2. Memristor-Based Progressive Hierarchical Conformer Architecture for Speech Emotion Recognition;International Journal of Bifurcation and Chaos;2024-07

3. Enhancing Speech Emotion Recognition Through Advanced Feature Extraction and Deep Learning: A Study Using the RAVDESS Dataset;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

4. Emotify: An AI-Powered Emotion-Based Music Recommendation System;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

5. Speech Emotion Recognition under Noisy Environments with SNR Down to −6 dB Using Multi-Decoder Wave-U-Net;Applied Sciences;2024-06-17

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