DiPCo -- Dinner Party Corpus

TL;DR

DiPCo is a publicly available speech corpus simulating natural dinner party conversations in home environments, recorded with multiple microphones to aid research in noise-robust and distant speech processing.

Contribution

The paper introduces a new, publicly accessible corpus of dinner party conversations with multi-microphone recordings for advancing noise-robust speech technologies.

Findings

Contains 10 sessions of natural conversations in home settings.

Includes multi-microphone recordings and human transcripts.

Aims to facilitate benchmarking in distant speech processing.

Abstract

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.