March 12, 2024, 4:51 a.m. | Can CuiMULTISPEECH, Imran Ahamad SheikhMULTISPEECH, Mostafa SadeghiMULTISPEECH, Emmanuel VincentMULTISPEECH

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.06570v1 Announce Type: new
Abstract: 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 optimize the use of a Speaker-Attributed ASR (SA-ASR) system in real-life scenarios, such as the AMI meeting corpus, for improved speaker assignment of speech segments. First, we propose a pipeline tailored to real-life applications involving Voice Activity Detection (VAD), Speaker Diarization (SD), and SA-ASR. Second, we advocate using …

abstract applications architecture arxiv asr cs.cl data life novel speaker studies study transcription type

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