FFSVC 2022

News

Aug 1, 2022	Releasing the system descriptions
Jun 13, 2022	Releasing the FFSVC 2022 baseline system!
Apr 15, 2022	Releasing the FFSVC 2022 evaluation plan and starting the registration

Welcome to FFSVC 2022! The success of FFSVC2020 indicates that more and more researchers are paying attention to the far-field speaker verification task. In this year, the challenge still focuses on the far-field speaker verification task and provides a new far-field development and test set collected by real speakers in complex environments under multiple conditions, e.g., text-dependent, text-independent, cross-channel enroll/test, etc. In addition, in-domain training speech data may be unlabeled in real scenario, which is difficult to fine-tune the pre-trained model. Therefore, a new focus of this year is cross-language self-supervised / semi-supervised learning, where participants are allowed to use the unlabeled training, development and supplementary set of the FFSVC2020 dataset (in Mandarin, in-domain) and the labeled VoxCeleb 1&2 dataset (mostly in English, out-of-domain) to build the model.

Task Description

This year we focus on the far-field single-channel scenarios. There are two tasks in this challenge; both tasks are to determine whether two speech samples are from the same speaker:

We define the task 1&2 as fixed training conditions that the participants can only use a fixed training set to build the speaker verification system. The fixed training set consists of the following two databases:

Note: Please refer to this website to download VoxCeleb 1&2 dataset and this website to download FFSVC 2020 dataset if you do not have these two datasets. In addition, in this challenge, we release a supplementary set of FFSVC2020, which consists of the same devices data as FFSVC2022.

In task 1, participants can use both VoxCeleb1&2 and FFSVC2020 datasets with speaker labels to train a far-field speaker verification system.

For task 2, in contrast to task1, participants cannot use the speaker labels of the FFSVC2020 dataset and FFSVC2020 supplementary set. In task 2, we encourage the participants to adopt self-supervised or semi-supervised methods to utilize the in-domain unlabeled data.

Using other speech datasets to train the system is forbidden, while participants are allowed to use public open-source non-speech dataset to perform data augmentation. The self-supervised pre-trained models, such as Wav2Vec and WavLM, cannot be used in this challenge.

Schedule

April 15^th, 2022 : Releasing the FFSVC 2022 evaluation plan and starting the registration.
April 20^th, 2022 : Opening the submission system and releasing supplementary/dev/eval sets
July 3^th, 2022 : Deadline for registration.
July 10^th, 2022 : Deadline for results submission.
July 15^th, 2022 : Deadline for system description submission
July 24^th, 2022 : Deadline for workshop paper submission
Aug 20^th, 2022 : Workshop paper acceptance notification
Sep 17^th, 2022 : Interspeech 2022 Satellite Workshop

Prizes

Prizes will be awarded to top three winning teams of each task.

Organisers

Ming Li, Duke Kunshan University, China

Haizhou Li, National University of Singapore, Singapore

Shrikanth Narayanan, University of Southern California, USA

Hui Bu, AI Shell Foundation,China

Xiaoyi Qin, Duke Kunshan University, China

Yao Shi, Duke Kunshan University, China

Papers

SPEAKIN team
The SpeakIn System for Far-Field Speaker Verification Challenge 2022

Zheng, Yu, Peng, Jinghan, Chen, Yihao, Zhang, Yajun, Liu, Min, and Xu, Minqiang

ffsvc2022

Bib HTML PDF
@article{FFSVC22_SPEAKIN, abbr = {SPEAKIN team}, bibtex_show = {true}, title = {The SpeakIn System for Far-Field Speaker Verification Challenge 2022}, author = {Zheng, Yu and Peng, Jinghan and Chen, Yihao and Zhang, Yajun and Liu, Min and Xu, Minqiang}, journal = {}, html = {https://ffsvc.github.io/assets/pdf/speakin_22.pdf}, pdf = {speakin_22.pdf}, selected = {true}, year = {ffsvc2022}, type = {System Description 2022} }
HiMia team
NPU-HC Speaker Verification System for Far-field Speaker Verification Challenge 2022

Zhang, Li, Li, Yue, Wang, Namin, Liu, Jie, and Xie, Lei

ffsvc2022

Bib HTML PDF
@article{FFSVC22_NPU, abbr = {HiMia team}, bibtex_show = {true}, title = {NPU-HC Speaker Verification System for Far-field Speaker Verification Challenge 2022}, author = {Zhang, Li and Li, Yue and Wang, Namin and Liu, Jie and Xie, Lei}, journal = {}, html = {https://ffsvc.github.io/assets/pdf/npu_22.pdf}, pdf = {npu_22.pdf}, selected = {true}, year = {ffsvc2022}, type = {System Description 2022} }

Nan7U team

The Nan7U Speaker Verification System for the FFSVC 2022 Challenge

Zhang, Ziyang

ffsvc2022

Bib HTML PDF

@article{FFSVC22_Nan7U,
  abbr = {Nan7U team},
  bibtex_show = {true},
  title = {The Nan7U Speaker Verification System for the FFSVC 2022 Challenge},
  author = {Zhang, Ziyang},
  journal = {},
  html = {https://ffsvc.github.io/assets/pdf/nan7u_22.pdf},
  pdf = {nan7u_22.pdf},
  selected = {true},
  year = {ffsvc2022},
  type = {System Description 2022}
}

ZXIC team

ZXIC Speaker Verification System for FFSVC 2022 Challenge

Lei, Yuan

ffsvc2022

Bib HTML PDF

@article{FFSVC22_ZXIC,
  abbr = {ZXIC team},
  bibtex_show = {true},
  title = {ZXIC Speaker Verification System for FFSVC 2022 Challenge},
  author = {Lei, Yuan},
  journal = {},
  html = {https://ffsvc.github.io/assets/pdf/zxic_22.pdf},
  pdf = {zxic_22.pdf},
  selected = {true},
  year = {ffsvc2022},
  type = {System Description 2022}
}

Evaluation Plan
Far-field Speaker Verification Challenge (FFSVC) 2022 : Challenge Evaluation Plan

Qin, Xiaoyi, Li, Ming, Bu, Hui, Narayanan, Shrikanth, and Li, Haizhou

2022

Abs Bib HTML PDF

This document is the description of Far-field Speaker Verification Challenge (FFSVC) 2022.
@article{FFSVC2022_Eval_Plan, abbr = {Evaluation Plan}, bibtex_show = {true}, title = {Far-field Speaker Verification Challenge (FFSVC) 2022 : Challenge Evaluation Plan}, author = {Qin, Xiaoyi and Li, Ming and Bu, Hui and Narayanan, Shrikanth and Li, Haizhou}, journal = {}, html = {https://ffsvc.github.io/assets/pdf/ffsvc2022_plan_v2.pdf}, pdf = {ffsvc2022_plan_v2.pdf}, selected = {true}, year = {2022} }