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2019

The VOiCES from a Distance Challenge 2019 Evaluation Plan

Nandwana, Mahesh Kumar, van Hout, Julien, McLaren, Mitchell et al.

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The "VOiCES from a Distance Challenge 2019" is designed to foster research in the area of speaker recognition and automatic speech recognition (ASR) with the special focus on single channel distant/far-field audio, under noisy conditions.

The main objectives of this challenge are to: (i) benchmark state-of-the-art technology in the area of speaker recognition and automatic speech recognition (ASR), (ii) support the development of new ideas and technologies in speaker recognition and ASR, (iii) support new research groups entering the field of distant/far-field speech processing, and (iv) provide a new, publicly available dataset to the community that exhibits realistic distance characteristics.

The VOiCES from a Distance Challenge 2019 Evaluation Plan · Around

Built on

N. Brümmer and J. Du Preez, “Application-independent evaluation of speaker detection,”
2006
Earlier work this paper cites.
V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, “Librispeech: An ASR corpus based on public domain audio books,”
2015
Earlier work this paper cites.
M. McLaren, L. Ferrer, D. Castan, and A. Lawson, “The speakers in the wild (SITW) speaker recognition database.”
2016
Earlier work this paper cites.

Similar

S. O. Sadjadi, T. Kheyrkhah, A. Tong, C. Greenberg, D. Reynolds, E. Singer, L. Mason, and J. Hernandez-Cordero, “The 2016 nist speaker recognition evaluation,”
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A. Nagrani, J. S. Chung, and A. Zisserman, “Voxceleb: A large-scale speaker identification dataset,”
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C. Richey, M. A. Barrios, Z. Armstrong, C. Bartels, M. Graciarena, A. Lawson, M. K. Nandwana
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Then

M. K. Nandwana, J. van Hout, M. McLaren, A. Stauffer, C. Richey, A. Lawson, and M. Graciarena, “Robust speaker recognition from distant speech under real reverberant environments using speaker embeddings,”
2018
Later among the works it cites.
J. S. Chung, A. Nagrani, and A. Zisserman, “Voxceleb2: Deep speaker recognition,”
2018
Later among the works it cites.
M. McLaren, D. Castan, M. K. Nandwana, L. Ferrer, and E. Yilmaz, “How to train your speaker embeddings extractor,”
2018
Later among the works it cites.

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