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DiPCo -- Dinner Party Corpus
- Publication Year :
- 2019
-
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.
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1909.13447
- Document Type :
- Working Paper