activity
20212024
most citedEarnings-21: A Practical Benchmark for ASR in the Wild

40 citations · 59 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 3 cited

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…

cs.CL2023

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…

cs.CL2022★ 1 cited

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…

cs.CL2021★ 15 cited

Accented Speech Recognition: A Survey

Arthur Hinsvark, Natalie Delworth, Miguel Del Rio +9

Automatic Speech Recognition (ASR) systems generalize poorly on accented speech. The phonetic and linguistic variability of accents present hard challenges for ASR systems today in…

cs.CL2021★ 40 cited

Earnings-21: A Practical Benchmark for ASR in the Wild

Miguel Del Rio, Natalie Delworth, Ryan Westerman +7

Commonly used speech corpora inadequately challenge academic and commercial ASR systems. In particular, speech corpora lack metadata needed for detailed analysis and WER measuremen…