The VOiCES from a Distance Challenge 2019

Mahesh Kumar Nandwana, Julien van Hout, Colleen Richey, Mitchell McLaren, Maria A. Barrios, Aaron Lawson


The VOiCES from a Distance Challenge 2019 was designed to foster research in the area of speaker recognition and automatic speech recognition (ASR) with a special focus on single-channel distant/far-field audio under various noisy conditions. The challenge was based on the recently released VOiCES corpus, with 60 international teams involved, of which 24 teams participated in the evaluation. In this paper, we separately present the challenge’s speaker recognition and ASR tasks. For each task, we outline the training, development, and test data, as well as the evaluation metrics. Then, we report and discuss the results in light of the participant-provided system descriptions, to highlight the major factors contributing to high performance in distant speech processing.


 DOI: 10.21437/Interspeech.2019-1837

Cite as: Nandwana, M.K., Hout, J.V., Richey, C., McLaren, M., Barrios, M.A., Lawson, A. (2019) The VOiCES from a Distance Challenge 2019. Proc. Interspeech 2019, 2438-2442, DOI: 10.21437/Interspeech.2019-1837.


@inproceedings{Nandwana2019,
  author={Mahesh Kumar Nandwana and Julien van Hout and Colleen Richey and Mitchell McLaren and Maria A. Barrios and Aaron Lawson},
  title={{The VOiCES from a Distance Challenge 2019}},
  year=2019,
  booktitle={Proc. Interspeech 2019},
  pages={2438--2442},
  doi={10.21437/Interspeech.2019-1837},
  url={http://dx.doi.org/10.21437/Interspeech.2019-1837}
}