Enhancing Speech Emotion Recognition in Urdu Using Bi-GRU Networks: An In-Depth Analysis of Acoustic Features and Model Interpretability
Author:
Affiliation:
1. Guilin University of Electronic Technology,Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education,Guilin,People's Republic of China,541004
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10540646/10540608/10540745.pdf?arnumber=10540745
Reference15 articles.
1. SEMOUR: A Scripted Emotional Speech Repository for Urdu
2. Urdu Speech Emotion Recognition: A Systematic Literature Review
3. Introducing the Urdu-Sindhi Speech Emotion Corpus: A Novel Dataset of Speech Recordings for Emotion Recognition for Two Low-Resource Languages
4. Audiovisual Affect Recognition for Autonomous Vehicles: Applications and Future Agendas
5. IoT-Enabled WBAN and Machine Learning for Speech Emotion Recognition in Patients
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