FFSVC2022 is the second challenge of far-field speaker verification. FFSVC2022 provides the fully-supervised far-field speaker verification to further explore the far-field scenario and proposes semi-supervised far-field speaker verification. In contrast to FFSVC2020, FFSVC2022 focus on the single-channel scenario. In addition, a supplementary set for the FFSVC2020 dataset is released this year. The supplementary set consists of more recording devices and has the same data distribution as the FFSVC2022 evaluation set. This paper summarizes the FFSVC 2022, including tasks description, trial designing details, a baseline system and a summary of challenge results. The challenge results indicate substantial progress made in the field but also p...
Voice conversion (VC) is a technique to transform a speaker identity included in a source speech wav...
Voice conversion (VC) is a technique to transform a speaker identity included in a source speech wav...
International audienceSpeaker verification (SV) suffers from unsatisfactory performance in far-field...
In this paper we describe the top-scoring IDLab submission for the text-independent task of the Shor...
This paper presents the SJTU system for both text-dependent and text-independent tasks in short-dura...
The FFSVC2020_supplement_F is the supplementary set of the first visit for the FFSVC2020 training se...
The FFSVC2020_supplement_T is the supplementary set of the third visit for the FFSVC2020 training se...
The FFSVC2020_supplement_S is the supplementary set of the second visits for the FFSVC2020 training ...
International audienceToday's smart devices using speaker verification are getting equipped with mul...
International audienceWe address far-field speaker verification with deep neural network (DNN) based...
This paper contains a post-challenge performance analysis on cross-lingual speaker verification of t...
While considerable work has been done to characterize the detrimental effects of channel variability...
This paper addresses the problem of speaker verification under reverberant conditions, using only th...
In this technical report, we describe the Royalflush submissions for the VoxCeleb Speaker Recognitio...
In this paper, we provide description of our submitted systems to the Short Duration Speaker Verific...
Voice conversion (VC) is a technique to transform a speaker identity included in a source speech wav...
Voice conversion (VC) is a technique to transform a speaker identity included in a source speech wav...
International audienceSpeaker verification (SV) suffers from unsatisfactory performance in far-field...
In this paper we describe the top-scoring IDLab submission for the text-independent task of the Shor...
This paper presents the SJTU system for both text-dependent and text-independent tasks in short-dura...
The FFSVC2020_supplement_F is the supplementary set of the first visit for the FFSVC2020 training se...
The FFSVC2020_supplement_T is the supplementary set of the third visit for the FFSVC2020 training se...
The FFSVC2020_supplement_S is the supplementary set of the second visits for the FFSVC2020 training ...
International audienceToday's smart devices using speaker verification are getting equipped with mul...
International audienceWe address far-field speaker verification with deep neural network (DNN) based...
This paper contains a post-challenge performance analysis on cross-lingual speaker verification of t...
While considerable work has been done to characterize the detrimental effects of channel variability...
This paper addresses the problem of speaker verification under reverberant conditions, using only th...
In this technical report, we describe the Royalflush submissions for the VoxCeleb Speaker Recognitio...
In this paper, we provide description of our submitted systems to the Short Duration Speaker Verific...
Voice conversion (VC) is a technique to transform a speaker identity included in a source speech wav...
Voice conversion (VC) is a technique to transform a speaker identity included in a source speech wav...
International audienceSpeaker verification (SV) suffers from unsatisfactory performance in far-field...