huckiyang/DiPCo

Dataset Overview

Dataset Name

• Name: DipCo – Dinner Party Corpus
• Alias: DiPCo

Dataset Attributes

• Language: English (en)
• Task Categories: automatic‑speech‑recognition, voice‑activity‑detection
• Multilinguality: Monolingual
• Tags: speaker separation, speech recognition, microphone array processing
• License: CDLA‑Permissive‑1.0
• Size Range: 100 M < size < 100 G
• Annotation Creators: expert generated
• Language Creators: expert generated

Dataset Content

• Audio Format: WAV, 16 kHz, 16‑bit
• Recording Types:
  • Near‑field (single‑channel microphone)
  • Far‑field (7‑channel microphone array)
• File Naming Rules:
  • Near‑field: <session_id>_<speaker_id>.wav
  • Far‑field: <session_id>_<device_id>.<channel_id>.wav
• Transcription Format: JSON
• Transcription Content: session ID, speaker ID, gender, mother tongue, language proficiency, transcript text, start time, end time, reference signal

Dataset Structure

DiPCo/
├── audio
│   ├── dev
│   └── eval
└── transcriptions
    ├── dev
    └── eval

Session Details

• Number of Sessions: 10
• Participants per Session: 4
• Number of Devices: 5
• Channels per Device: 7
• Session Naming: <session_id> (e.g., S01, S02, …)
• Speaker Naming: <speaker_id> (e.g., P01, P02, …)
• Device Naming: <device_id> (e.g., U01, U02, …)
• Channel Naming: <channel_id> (e.g., CH1, CH2, …)

Development & Evaluation Sets

• Development Set: Sessions S02, S04, S05, S09, S10; total 2 h 43 min, 3,691 utterances
• Evaluation Set: Sessions S01, S03, S06, S07, S08; total 2 h 36 min, 3,619 utterances

Transcription Example

{
  "start_time": {
    "U01": "00:02:12.79",
    "U02": "00:02:12.79",
    "U03": "00:02:12.79",
    "U04": "00:02:12.79",
    "U05": "00:02:12.79",
    "close-talk": "00:02:12.79"
  },
  "end_time": {
    "U01": "00:02:14.84",
    "U02": "00:02:14.84",
    "U03": "00:02:14.84",
    "U04": "00:02:14.84",
    "U05": "00:02:14.84",
    "close-talk": "00:02:14.84"
  },
  "gender": "male",
  "mother_tongue": "U.S. English",
  "nativeness": "native",
  "ref": "close-talk",
  "session_id": "S02",
  "speaker_id": "P05",
  "words": "[noise] how do you like the food"
}

License

• Type: CDLA‑Permissive
• Details: see LICENSE file