Domain Adapting Deep Reinforcement Learning for Real-World Speech Emotion Recognition

Domain Adapting Deep Reinforcement Learning for Real-World Speech Emotion Recognition

Speech-emotion recognition (SER) enables computers to engage with people in an emotionally intelligent way. The inability to adapt an existing model to a new domain is one of the significant limitations of SER methods. To overcome this challenge, domain adaptation techniques have been developed to t...

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Bibliographic Details
Main Authors: Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Bjorn W. Schuller
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Reinforcement learning
speech emotion recognition
domain adaptation
Online Access:https://ieeexplore.ieee.org/document/10806705/
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https://ieeexplore.ieee.org/document/10806705/

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