Ground truth text with prosody encoding and ASR encoding residual cross attention fusion multi-label DAC
ASR encoder:
Whisper small encoder
Prosody encoder: 2 layer transformer encoder with initial dense projection
Backbone:
DistilBert uncased
Fusion: 2 residual cross attention fusion layers (F_asr x F_text and F_prosody x F_text) with dense layer on top
Pooling: Self attention
Multi-label classification head: 2 dense layers with two dropouts 0.3 and Tanh activation inbetween
Trained on ground truth.
Evaluated on ground truth (GT) and normalized
Whisper small transcripts (E2E).
