# DiPCo -- Dinner Party Corpus

arXiv: https://arxiv.org/abs/1909.13447 · HTML: https://mlsanity.com/paper/1909.13447/

## Key facts

- Cited by 20 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Sep 2019.

## Built on by (most cited first, 20 of 20)

- [EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments](https://mlsanity.com/paper/2107.04174/) (2021)
- [MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems](https://mlsanity.com/paper/2307.11394/) (2023)
- [Wav2vec-C: A Self-supervised Model for Speech Representation Learning](https://mlsanity.com/paper/2103.08393/) (2021)
- [The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios](https://mlsanity.com/paper/2306.13734/) (2023)
- [NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription](https://mlsanity.com/paper/2401.08887/) (2024)
- [Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems](https://mlsanity.com/paper/2409.06656/) (2024)
- [Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition](https://mlsanity.com/paper/2409.09785/) (2024)
- [TurnBench: A Multi-Domain Benchmark for Turn-Taking Dynamics in Spoken Dialogue](https://mlsanity.com/paper/2608.25218/) (2026)
- [Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over](https://mlsanity.com/paper/2406.18972/) (2024)
- [A Cocktail-Party Benchmark: Multi-Modal dataset and Comparative Evaluation Results](https://mlsanity.com/paper/2510.23276/) (2025)
- [WaveVerify: A Novel Audio Watermarking Framework for Media Authentication and Combatting Deepfakes](https://mlsanity.com/paper/2507.21150/) (2025)
- [LOTUSDIS: A Thai far-field meeting corpus for robust conversational ASR](https://mlsanity.com/paper/2509.18722/) (2025)
- [When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms](https://mlsanity.com/paper/2604.16767/) (2026)
- [PS4: Proxy-Supervised Joint Training for Real Target Speaker Extraction](https://mlsanity.com/paper/2607.08111/) (2026)
- [Geodesic interpolation of frame-wise speaker embeddings for the diarization of meeting scenarios](https://mlsanity.com/paper/2401.03963/) (2024)
- [Exploring Speaker Diarization with Mixture of Experts](https://mlsanity.com/paper/2506.14750/) (2025)
- [Who Spoke What When? Evaluating Spoken Language Models for Conversational ASR with Semantic and Overlap-Aware Metrics](https://mlsanity.com/paper/2603.22709/) (2026)
- [MUSCAT: MUltilingual, SCientific ConversATion Benchmark](https://mlsanity.com/paper/2604.15929/) (2026)
- [Evaluating Large Language Models Abilities for Addressee, Turn-change, and Next Speaker Prediction in Meetings](https://mlsanity.com/paper/2606.17542/) (2026)
- [TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics](https://mlsanity.com/paper/2608.01724/) (2026)

## 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.