3 research outputs found
The INTERSPEECH 2020 Far-Field Speaker Verification Challenge
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.Comment: Submitted to INTERSPEECH 202