ISCA Archive Interspeech 2020
ISCA Archive Interspeech 2020

DiPCo — Dinner Party Corpus

Maarten Van Segbroeck, Ahmed Zaid, Ksenia Kutsenko, Cirenia Huerta, Tinh Nguyen, Xuewen Luo, Björn Hoffmeister, Jan Trmal, Maurizio Omologo, Roland Maas

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.

doi: 10.21437/Interspeech.2020-2800

Cite as: Segbroeck, M.V., Zaid, A., Kutsenko, K., Huerta, C., Nguyen, T., Luo, X., Hoffmeister, B., Trmal, J., Omologo, M., Maas, R. (2020) DiPCo — Dinner Party Corpus. Proc. Interspeech 2020, 434-436, doi: 10.21437/Interspeech.2020-2800

  author={Maarten Van Segbroeck and Ahmed Zaid and Ksenia Kutsenko and Cirenia Huerta and Tinh Nguyen and Xuewen Luo and Björn Hoffmeister and Jan Trmal and Maurizio Omologo and Roland Maas},
  title={{DiPCo — Dinner Party Corpus}},
  booktitle={Proc. Interspeech 2020},