3 papers
cs.CL2025
Accurate, fast, cheap: Choose three. Replacing Multi-Head-Attention with Bidirectional Recurrent Attention for Long-Form ASR
Martin Ratajczak, Jean-Philippe Robichaud, Jennifer Drexler Fox
Long-form speech recognition is an application area of increasing research focus. ASR models based on multi-head attention (MHA) are ill-suited to long-form ASR because of their qu…
cs.CL2024
Style-agnostic evaluation of ASR using multiple reference transcripts
Quinten McNamara, Miguel Ángel del Río Fernández, Nishchal Bhandari +4
Word error rate (WER) as a metric has a variety of limitations that have plagued the field of speech recognition. Evaluation datasets suffer from varying style, formality, and inhe…
cs.CL2024
Reverb: Open-Source ASR and Diarization from Rev
Nishchal Bhandari, Danny Chen, Miguel Ángel del Río Fernández +10
Today, we are open-sourcing our core speech recognition and diarization models for non-commercial use. We are releasing both a full production pipeline for developers as well as pa…