1 citations · 1 across the 4 of their papers we have counts for
5 papers
Data-independent Beamforming for End-to-end Multichannel Multi-speaker ASR
Can Cui, Paul Magron, Mostafa Sadeghi +1
Automatic speech recognition (ASR) in multichannel, multi-speaker scenarios remains challenging due to ambient noise, reverberation and overlapping speakers. In this paper, we prop…
Joint Beamforming and Speaker-Attributed ASR for Real Distant-Microphone Meeting Transcription
Can Cui, Imran Ahamad Sheikh, Mostafa Sadeghi +1
Distant-microphone meeting transcription is a challenging task. State-of-the-art end-to-end speaker-attributed automatic speech recognition (SA-ASR) architectures lack a multichann…
Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications
Can Cui, Imran Ahamad Sheikh, Mostafa Sadeghi +1
Past studies on end-to-end meeting transcription have focused on model architecture and have mostly been evaluated on simulated meeting data. We present a novel study aiming to opt…
End-to-end Joint Punctuated and Normalized ASR with a Limited Amount of Punctuated Training Data
Can Cui, Imran Ahamad Sheikh, Mostafa Sadeghi +1
Joint punctuated and normalized automatic speech recognition (ASR) aims at outputing transcripts with and without punctuation and casing. This task remains challenging due to the l…
End-to-end Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis
Can Cui, Imran Ahamad Sheikh, Mostafa Sadeghi +1
We present an end-to-end multichannel speaker-attributed automatic speech recognition (MC-SA-ASR) system that combines a Conformer-based encoder with multi-frame crosschannel atten…