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インサイト - Speech Emotion Recognition
MSAC-SERNet: A Unified Framework for Speaker-Independent Speech Emotion Recognition
Investigating the reliability of SER methods and proposing a unified framework for speech emotion recognition.
EMO-SUPERB: Enhancing Speech Emotion Recognition with EMOtion Speech Universal PERformance Benchmark
The author introduces EMO-SUPERB to address key issues in Speech Emotion Recognition, such as reproducibility, data leakage, and leveraging typed descriptions for improved performance.
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