3 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition
Philipp Klumpp, Pooja Chitkara, Leda Sarı +5
The awareness for biased ASR datasets or models has increased notably in recent years. Even for English, despite a vast amount of available training data, systems perform worse for…
Building an ASR Error Robust Spoken Virtual Patient System in a Highly Class-Imbalanced Scenario Without Speech Data
Vishal Sunder, Prashant Serai, Eric Fosler-Lussier
A Virtual Patient (VP) is a powerful tool for training medical students to take patient histories, where responding to a diverse set of spoken questions is essential to simulate na…
Hallucination of speech recognition errors with sequence to sequence learning
Prashant Serai, Vishal Sunder, Eric Fosler-Lussier
Automatic Speech Recognition (ASR) is an imperfect process that results in certain mismatches in ASR output text when compared to plain written text or transcriptions. When plain t…