Cross-Attention Conformer for Context Modeling in Speech Enhancement for ASR
Cross-Attention Conformer for Context Modeling in Speech Enhancement for ASR
This work introduces cross-attention conformer, an attention-based architecture for context modeling in speech enhancement. Given that the context information can often be sequential, and of different length as the audio that is to be enhanced, we make use of cross-attention to summarize and merge contextual information with input features. Building …