COALA ranks biasing entities via an SLM discriminative scorer with multi-positive and point-wise losses, enabling large-list contextual ASR without context-window collapse.
Datasets We evaluate our proposed method on the LibriSpeech corpus [18], following the contextual biasing experimental setup es- tablished in prior study [19]
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COALA: Robust Contextualized Speech-augmented Language Modeling for ASR via Contrastive Regularizer and Biasing Score Estimation
COALA ranks biasing entities via an SLM discriminative scorer with multi-positive and point-wise losses, enabling large-list contextual ASR without context-window collapse.