3 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
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…
Updated Corpora and Benchmarks for Long-Form Speech Recognition
Jennifer Drexler Fox, Desh Raj, Natalie Delworth +3
The vast majority of ASR research uses corpora in which both the training and test data have been pre-segmented into utterances. In most real-word ASR use-cases, however, test audi…
Improving Contextual Recognition of Rare Words with an Alternate Spelling Prediction Model
Jennifer Drexler Fox, Natalie Delworth
Contextual ASR, which takes a list of bias terms as input along with audio, has drawn recent interest as ASR use becomes more widespread. We are releasing contextual biasing lists…
Curriculum optimization for low-resource speech recognition
Anastasia Kuznetsova, Anurag Kumar, Jennifer Drexler Fox +1
Modern end-to-end speech recognition models show astonishing results in transcribing audio signals into written text. However, conventional data feeding pipelines may be sub-optima…