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arXiv · 2005.08046

The INTERSPEECH 2020 Far-Field Speaker Verification Challenge

Xiaoyi Qin·Ming Li·Hui Bu·Wei Rao·Rohan Kumar Das·Shrikanth Narayanan·Haizhou Li
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Abstract

The INTERSPEECH 2020 Far-Field Speaker Verification Challenge (FFSVC 2020) addresses three different research problems under well-defined conditions: far-field text-dependent speaker verification from single microphone array, far-field text-independent speaker verification from single microphone array, and far-field text-dependent speaker verification from distributed microphone arrays. All three tasks pose a cross-channel challenge to the participants. To simulate the real-life scenario, the enrollment utterances are recorded from close-talk cellphone, while the test utterances are recorded from the far-field microphone arrays. In this paper, we describe the database, the challenge, and the baseline system, which is based on a ResNet-based deep speaker network with cosine similarity scoring. For a given utterance, the speaker embeddings of different channels are equally averaged as the final embedding. The baseline system achieves minDCFs of 0.62, 0.66, and 0.64 and EERs of 6.27%, 6.55%, and 7.18% for task 1, task 2, and task 3, respectively.

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Xiaoyi Qin, Ming Li, Hui Bu, Wei Rao, Rohan Kumar Das, Shrikanth Narayanan, Haizhou Li. 2020-05-16. The INTERSPEECH 2020 Far-Field Speaker Verification Challenge. https://arxiv.org/abs/2005.08046

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