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We introduce the first Natural Office Talkers in Settings of Far-field AudioRecordings (``NOTSOFAR-1'') Challenge alongside datasets and baseline system.The challenge focuses on distant speaker diarization and automatic speechrecognition (DASR) in far-field meeting scenarios, with single-channel andknown-geometry multi-channel tracks, and serves as a launch platform for twonew datasets: First, a benchmarking dataset of 315 meetings, averaging 6minutes each, capturing a broad spectrum of real-world acoustic conditions andconversational dynamics. It is recorded across 30 conference rooms, featuring4-8 attendees and a total of 35 unique speakers. Second, a 1000-hour simulatedtraining dataset, synthesized with enhanced authenticity for real-worldgeneralization, incorporating 15,000 real acoustic transfer functions. Thetasks focus on single-device DASR, where multi-channel devices always share thesame known geometry. This is aligned with common setups in actual conferencerooms, and avoids technical complexities associated with multi-device tasks. Italso allows for the development of geometry-specific solutions. The NOTSOFAR-1Challenge aims to advance research in the field of distant conversationalspeech recognition, providing key resources to unlock the potential ofdata-driven methods, which we believe are currently constrained by the absenceof comprehensive high-quality training and benchmarking datasets.

NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription