MelTrans: Mel-Spectrogram Relationship-Learning for Speech Emotion Recognition via Transformers
Hui Li,
Jiawen Li,
Hai Liu
et al.
Abstract:Speech emotion recognition (SER) is not only a ubiquitous aspect of everyday communication, but also a central focus in the field of human–computer interaction. However, SER faces several challenges, including difficulties in detecting subtle emotional nuances and the complicated task of recognizing speech emotions in noisy environments. To effectively address these challenges, we introduce a Transformer-based model called MelTrans, which is designed to distill critical clues from speech data by learning core … Show more
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