The I2R’s Submission To VOiCES Distance Speaker Recognition Challenge 2019

The I2R’s Submission To VOiCES Distance Speaker Recognition Challenge 2019
Title:
The I2R’s Submission To VOiCES Distance Speaker Recognition Challenge 2019
Other Titles:
Interspeech 2019
Publication Date:
15 September 2019
Citation:
Sun, H., Teh, K.K., Kukanov, I., Tran, H.D. (2019) The I2R’s Submission to VOiCES Distance Speaker Recognition Challenge 2019. Proc. Interspeech 2019, 2478-2482, DOI: 10.21437/Interspeech.2019-1997.
Abstract:
This paper is about the I2R’s submission to the VOiCES from a distance speaker recognition challenge 2019. The submissions were based on the fusion of two x-vectors and two i-vectors subsystems. Main efforts have been focused on the frontend de-reverberation processing, PLDA backend design, score normalization and fusion studies in order to improve the system performance on single channel distant/far-field audio, under noisy conditions. We contribute to the fixed condition task under specific training and development data set. The experimental results showed that the de-reverberation approach can achieve 5% to 10% relative improvement on both EER and DCF for all subsystems and more than 10% improvement in the final fusion system on the Dev dataset and more than 15% relative improvement on the final evaluation dataset. Our final fusion system achieved about 2% EER rate and 0.240 minDCF on the Development Dataset.
License type:
PublisherCopyrights
Funding Info:
Description:
ISSN:
1990-9772
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