15 citations · 30 across the 14 of their papers we have counts for
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cs.SD2023
Audio-visual fine-tuning of audio-only ASR models
Avner May, Dmitriy Serdyuk, Ankit Parag Shah +2
Audio-visual automatic speech recognition (AV-ASR) models are very effective at reducing word error rates on noisy speech, but require large amounts of transcribed AV training data…
cs.SD2023
Cascaded encoders for fine-tuning ASR models on overlapped speech
Richard Rose, Oscar Chang, Olivier Siohan
Multi-talker speech recognition (MT-ASR) has been shown to improve ASR performance on speech containing overlapping utterances from more than one speaker. Multi-talker models have…
cs.SD2022★ 1 cited
End-to-end multi-talker audio-visual ASR using an active speaker attention module
Richard Rose, Olivier Siohan
This paper presents a new approach for end-to-end audio-visual multi-talker speech recognition. The approach, referred to here as the visual context attention model (VCAM), is impo…