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ground-truth/multichannel-meetings-10h

GroundTruth Multi-Channel Meeting Audio Dataset (10h) Summary This dataset contains approximately 10 hours of co-located, multi-speaker meeting recordings, each captured simultaneously via a room (built-in) microphone and individual close-talk lapel microphones worn by each participant. Each meeting includes: One full meeting recording (room microphone) Individual close-talk recordings for each participant (one file per speaker) Structured metadata describing… See the full description on the dataset page: https://huggingface.co/datasets/ground-truth/multichannel-meetings-10h.

sourceHugging Facecc-by-nc-4.0updated 5mo agoView on Hugging Face
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Dataset Card

GroundTruth Multi-Channel Meeting Audio Dataset (10h)

Summary

This dataset contains approximately 10 hours of co-located, multi-speaker meeting recordings, each captured simultaneously via a room (built-in) microphone and individual close-talk lapel microphones worn by each participant.

Each meeting includes:

  • —One full meeting recording (room microphone)
  • —Individual close-talk recordings for each participant (one file per speaker)
  • —Structured metadata describing speakers, environment, and recording setup

The dataset is designed to support development of robust multi-speaker audio systems under realistic acoustic conditions.

Key Features

  • —Dual-modality capture: room recording plus per-speaker close-talk tracks per session
  • —Complete speaker coverage: every participant has an isolated close-talk file
  • —12 unique speakers reused across meetings with consistent speaker IDs
  • —Controlled acoustic environments: co-located participants in small rooms
  • —Rich metadata per session and per speaker

Dataset Characteristics

  • —Total duration: about 10 hours (36,289 seconds)
  • —Total meetings: 40
  • —Unique speakers: 12
  • —Speakers per meeting: 3 (fixed)
  • —Audio format: .m4a
  • —Language: English (en-IN, Indian English)
  • —Recording date: March 2026

Loading the Dataset

python
from datasets import load_dataset

ds = load_dataset("ground-truth/multichannel-meetings-10h", split="train")
print(ds[0].keys())

Row-level fields in the published dataset (dataset_index.json):

  • —meeting_id
  • —domain
  • —full_audio_path (path to room microphone audio file)
  • —speaker_audio_paths (list of close-talk speaker audio paths)
  • —speaker_ids
  • —num_speakers
  • —duration_sec
  • —metadata_path (path to JSON file containing meeting_metadata and speakers_metadata)

If you want decoded Audio columns (room_audio, speaker_audios) plus expanded metadata fields, use scripts/build_dataset.py.

Use Cases

  • —Speaker diarization
  • —Multi-speaker ASR
  • —Speech source separation

License

This dataset is released under CC BY-NC 4.0. It may be used for non-commercial research and evaluation purposes with attribution.

Citation

bibtex
@dataset{groundtruth_multichannel_meetings_10h,
  title   = {GroundTruth Multi-Channel Meeting Audio Dataset (10h)},
  author  = {GroundTruth},
  year    = {2026},
  license = {CC-BY-NC-4.0},
  url     = {https://huggingface.co/datasets/ground-truth/multichannel-meetings-10h}
}

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