Dual-Scale State-Space Modeling with Speaker-Wise Dynamic CRF for Speech Emotion Recognition in Conversation
The episode reviews a paper introducing DSSM-CRF, an audio-only architecture for speech emotion recognition in conversation. The model uses dual scales of memory—frame and dialogue history—and employs a dynamic Conditional Random Field to independently track each speaker's emotional sequence. This approach achieves high accuracy while accounting for complex conversational dynamics.