Multi-features learning via Attention-BLSTM for Speech Emotion Recognition-Reference-Cited by-同舟云学术

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Multi-features learning via Attention-BLSTM for Speech Emotion Recognition

Published:2024-05-21 Issue: Volume:33 Page:1-6
ISSN:
Container-title:2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC)
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Author:

Chakhtouna Adil¹,Sekkate Sara²,Adib Abdellah¹

Affiliation:

1. Hassan II University,Team Data Science & Artificial Intelligence, Laboratory of Mathematics, Computer Science and Applications (LMCSA), Faculty of Sciences and Technologies,Mohammedia,Morocco

2. Hassan II University,Higher National School of Arts and Crafts,Casablanca,Morocco

Funder

Ministry of Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577657/10577765/10577886.pdf?arnumber=10577886

Reference36 articles.

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

2. Detecting and visualizing hate speech in social media: A cyber Watchdog for surveillance

3. Speech Emotions Recognition for Online Education

4. Improving Speech Emotion Recognition System Using Spectral and Prosodic Features

5. End-to-End Speech Emotion Recognition With Gender Information

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