Name
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.21437/Interspeech.2020-1249 | INTERSPEECH |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qin Xiaoyi | 1 | 1 | 0.36 |
| Li Ming | 2 | 3 | 1.41 |
| Bu Hui | 3 | 1 | 0.36 |
| Wei Rao | 4 | 5 | 3.55 |
| Das, Rohan Kumar | 5 | 103 | 21.58 |
| Narayanan Shrikanth | 6 | 5558 | 439.23 |
| Haizhou Li | 7 | 3678 | 334.61 |