SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition

Application of Multiresolution Signal Wavelet Network in Speech Emotion Recognition: SigWavNet Academic Background Speech Emotion Recognition (SER) plays a crucial role in human-computer interaction and psychological assessment. It identifies the speaker’s emotional state by analyzing speech signals, with wide applications in emergency call centers...

Phonetically-Anchored Domain Adaptation for Cross-Lingual Speech Emotion Recognition

Phonetic-Anchored Domain Adaptation in Cross-Lingual Speech Emotion Recognition Academic Background Speech Emotion Recognition (SER) has broad application prospects in intelligent agents, social robots, voice assistants, and automated call center systems. With the development of globalization, the demand for cross-lingual SER is increasing. However...