The FFSVC2020_supplement_S is the supplementary set of the second visits for the FFSVC2020 training set. For the far-field speaker verification challenge (FFSVC) 2020 dataset, each speaker visit three times. The sets of F, S and T describe the first, second and third visit of one person. Compared with the FFSVC2020 dataset, the supplementary set adds data for mobile phones and tablet devices. If you want more information about the dataset, please visit https://ffsvc.github.io/
Supplemental material, EC793399__supplemental_Table_2_8.3.18 for Functional Communication Training: ...
Mel-frequency cepstral coefficients (MFCCs) are widely adopted in speech recognition as well as spea...
This is a database used for the Third Automatic Speaker Verification Spoofing and Countermeasures Ch...
The FFSVC2020_supplement_S is the supplementary set of the second visits for the FFSVC2020 training ...
The FFSVC2020_supplement_T is the supplementary set of the third visit for the FFSVC2020 training se...
The FFSVC2020_supplement_F is the supplementary set of the first visit for the FFSVC2020 training se...
FFSVC2022 is the second challenge of far-field speaker verification. FFSVC2022 provides the fully-su...
FFSVC2022 dataset consists of the development and evaluation set of FFSVC2020. The audio of this da...
Item does not contain fulltextThis dataset contains the supporting data for the presentation at the ...
FSD-FS is a publicly-available database of human labelled sound events for few-shot learning. It spa...
These files are features (i-vectors, x-vectors, MFCC features) extracted from the subset of Mozilla ...
The dataset contains all instances that the organizers of the competition received or collected duri...
In this paper, we provide description of our submitted systems to the Short Duration Speaker Verific...
Item does not contain fulltextThis dataset contains the supporting data for the following article: ...
Synthetic data for DCASE 2019 task 4 Freesound dataset [1,2]: A subset of FSD is used as foreground...
Supplemental material, EC793399__supplemental_Table_2_8.3.18 for Functional Communication Training: ...
Mel-frequency cepstral coefficients (MFCCs) are widely adopted in speech recognition as well as spea...
This is a database used for the Third Automatic Speaker Verification Spoofing and Countermeasures Ch...
The FFSVC2020_supplement_S is the supplementary set of the second visits for the FFSVC2020 training ...
The FFSVC2020_supplement_T is the supplementary set of the third visit for the FFSVC2020 training se...
The FFSVC2020_supplement_F is the supplementary set of the first visit for the FFSVC2020 training se...
FFSVC2022 is the second challenge of far-field speaker verification. FFSVC2022 provides the fully-su...
FFSVC2022 dataset consists of the development and evaluation set of FFSVC2020. The audio of this da...
Item does not contain fulltextThis dataset contains the supporting data for the presentation at the ...
FSD-FS is a publicly-available database of human labelled sound events for few-shot learning. It spa...
These files are features (i-vectors, x-vectors, MFCC features) extracted from the subset of Mozilla ...
The dataset contains all instances that the organizers of the competition received or collected duri...
In this paper, we provide description of our submitted systems to the Short Duration Speaker Verific...
Item does not contain fulltextThis dataset contains the supporting data for the following article: ...
Synthetic data for DCASE 2019 task 4 Freesound dataset [1,2]: A subset of FSD is used as foreground...
Supplemental material, EC793399__supplemental_Table_2_8.3.18 for Functional Communication Training: ...
Mel-frequency cepstral coefficients (MFCCs) are widely adopted in speech recognition as well as spea...
This is a database used for the Third Automatic Speaker Verification Spoofing and Countermeasures Ch...