mlsanityData to 7 Oct 2026

DiPCo -- Dinner Party Corpus

arXiv 1909.13447 ↗First posted 30 Sep 2019eess.AS cs.CL cs.SDcited by 18

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Abstract (arXiv)

We present a speech data corpus that simulates a "dinner party" scenario taking place in an everyday home environment. The corpus was created by recording multiple groups of four Amazon employee volunteers having a natural conversation in English around a dining table. The participants were recorded by a single-channel close-talk microphone and by five far-field 7-microphone array devices positioned at different locations in the recording room. The dataset contains the audio recordings and human labeled transcripts of a total of 10 sessions with a duration between 15 and 45 minutes. The corpus was created to advance in the field of noise robust and distant speech processing and is intended to serve as a public research and benchmarking data set.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Sep 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 0; 2023: 2; 2024: 4; 2025: 3; 2026: 7.

18 papers.

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  1. 2021EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environmentscited by 29
  2. 2023MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systemscited by 28
  3. 2021Wav2vec-C: A Self-supervised Model for Speech Representation Learningcited by 25
  4. 2023The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarioscited by 20
  5. 2024NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcriptioncited by 18
  6. 2024Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systemscited by 12
  7. 2024Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognitioncited by 10
  8. 2024Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-overcited by 4
  9. 2025A Cocktail-Party Benchmark: Multi-Modal dataset and Comparative Evaluation Resultscited by 4
  10. 2026TurnBench: A Multi-Domain Benchmark for Turn-Taking Dynamics in Spoken Dialoguecited by 4
  11. 2025LOTUSDIS: A Thai far-field meeting corpus for robust conversational ASRcited by 1
  12. 2026When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platformscited by 1
6 more
  1. 2026PS4: Proxy-Supervised Joint Training for Real Target Speaker Extractioncited by 1
  2. 2025Exploring Speaker Diarization with Mixture of Expertscited by 0
  3. 2026Who Spoke What When? Evaluating Spoken Language Models for Conversational ASR with Semantic and Overlap-Aware Metricscited by 0
  4. 2026MUSCAT: MUltilingual, SCientific ConversATion Benchmarkcited by 0
  5. 2026Evaluating Large Language Models Abilities for Addressee, Turn-change, and Next Speaker Prediction in Meetingscited by 0
  6. 2026TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamicscited by 0