9 citations · 22 across the 7 of their papers we have counts for
3 papers · 1 filter
Developing Speech Processing Pipelines for Police Accountability
Anjalie Field, Prateek Verma, Nay San +2
Police body-worn cameras have the potential to improve accountability and transparency in policing. Yet in practice, they result in millions of hours of footage that is never revie…
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation
Martijn Bartelds, Nay San, Bradley McDonnell +2
The performance of automatic speech recognition (ASR) systems has advanced substantially in recent years, particularly for languages for which a large amount of transcribed speech…
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions
Nay San, Martijn Bartelds, Blaine Billings +7
Recent research using pre-trained transformer models suggests that just 10 minutes of transcribed speech may be enough to fine-tune such a model for automatic speech recognition (A…