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cs.CL2025
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…
cs.CL2025
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…
cs.CL2024
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…