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VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge
[article]
2020
arXiv
pre-print
Preserved Fulltext
We held the second installment of the VoxCeleb Speaker Recognition Challenge in conjunction with Interspeech 2020. ...
The goal of this challenge was to assess how well current speaker recognition technology is able to diarise and recognize speakers in unconstrained or 'in the wild' data. ...
INTRODUCTION In 2019 we introduced the VoxCeleb Speaker Recognition Challenge [1] (VoxSRC), a new series of speaker recognition challenges that are intended to be hosted annually. ...
arXiv:2012.06867v1
fatcat:k4jmpz7bsncwjdmlzql7vbhmge
The UPC Speaker Verification System Submitted to VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20)
[article]
2020
arXiv
pre-print
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This report describes the submission from Technical University of Catalonia (UPC) to the VoxCeleb Speaker Recognition Challenge (VoxSRC-20) at Interspeech 2020. ...
Whereas, our triple-branch siamese is trained to learn speaker embeddings using triplet loss. We provide results of our systems on VoxCeleb-1 test, VoxSRC-20 validation and test sets. ...
The VoxSRC-20 is the second edition of the speaker recognition challenge held by VoxCeleb team. ...
arXiv:2010.10937v2
fatcat:mlh6xb3udjhdne646tbhtjj46u
The ins and outs of speaker recognition: lessons from VoxSRC 2020
[article]
2020
arXiv
pre-print
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The VoxCeleb Speaker Recognition Challenge (VoxSRC) at Interspeech 2020 offers a challenging evaluation for speaker recognition systems, which includes celebrities playing different parts in movies. ...
The goal of this work is robust speaker recognition of utterances recorded in these challenging environments. ...
We would like to thank Brecht Desplanques for his help with the implementation of ECAPA-TDNN. ...
arXiv:2010.15809v1
fatcat:uhxg2ni46vbvjbkvulz23k2kca
VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge
[article]
2022
arXiv
pre-print
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The third instalment of the VoxCeleb Speaker Recognition Challenge was held in conjunction with Interspeech 2021. ...
The aim of this challenge was to assess how well current speaker recognition technology is able to diarise and recognise speakers in unconstrained or 'in the wild' data. ...
Acknowledgements This work is funded by the EPSRC programme grant EP/T028572/1 VisualAI. Andrew Brown is funded by an EP-SRC DTA Studentship. Jaesung Huh is funded by a Global Korea Scholarship. ...
arXiv:2201.04583v1
fatcat:yyrxdx3yszdd7nosgubhb3lr6m
Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020
[article]
2020
arXiv
pre-print
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This report describes our submission to the VoxCeleb Speaker Recognition Challenge (VoxSRC) at Interspeech 2020. ...
We perform a careful analysis of speaker recognition models based on the popular ResNet architecture, and train a number of variants using a range of loss functions. ...
Introduction The VoxCeleb Speaker Recognition Challenge 2020 is second installment of the new series of speaker recognition challenges that are hosted annually. ...
arXiv:2009.14153v1
fatcat:iwvxyaolq5ffbbd7hwvfxjm6ey
The IDLAB VoxSRC-20 Submission: Large Margin Fine-Tuning and Quality-Aware Score Calibration in DNN Based Speaker Verification
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2010.11255v1 fatcat:43p4lnmuwbgn5oq6l52r6rlhdq
tracks of the VoxCeleb Speaker Recognition Challenge 2020. ...
It enables the network to create more robust speaker embeddings by enabling the use of longer training utterances in combination with a more aggressive margin penalty. ...
For the VoxSRC-20 [30] test set results reported in Table 3 , the MinDCF is evaluated as defined in the challenge with a Ptarget value of 0.05. ...
arXiv:2010.11255v2
fatcat:3n5jnj7c7ra23lgjdgs4h55aoq
The xx205 System for the VoxCeleb Speaker Recognition Challenge 2020
[article]
2020
arXiv
pre-print
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This report describes the systems submitted to the first and second tracks of the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020, which ranked second in both tracks. ...
angular margin softmax loss to train the speaker models, and (3) applying score normalization and system fusion to boost the performance. ...
Introduction The first and second tracks of the VoxSRC 2020 challenge allow participants to train the speaker model in a supervised manner. ...
arXiv:2011.00200v1
fatcat:pqj72uhfc5echmx53hk7xwscu4
Tongji University Team for the VoxCeleb Speaker Recognition Challenge 2020
[article]
2020
arXiv
pre-print
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In this report, we describe the submission of Tongji University team to the CLOSE track of the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020 at Interspeech 2020. ...
We investigate different speaker recognition systems based on the popular ResNet-34 architecture, and train multiple variants via various loss functions. ...
Introduction The VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020 is second installment of the new series of speaker recognition challenges that are hosted annually. ...
arXiv:2010.08179v1
fatcat:j4u7th4s3vd7rngu2qyo2yfy34
ShaneRun System Description to VoxCeleb Speaker Recognition Challenge 2020
[article]
2020
arXiv
pre-print
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In this report, we describe the submission of ShaneRun's team to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020. ...
We use ResNet-34 as encoder to extract the speaker embeddings, which is referenced from the open-source voxceleb-trainer. ...
Introduction The VoxCeleb Speaker Recognition Challenge 2020 is second term of the new series of speaker recognition challenges. ...
arXiv:2011.01518v1
fatcat:tkos7xxuozcafidopckxzis5ka
Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020
[article]
2020
arXiv
pre-print
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This paper describes the Microsoft speaker diarization system for monaural multi-talker recordings in the wild, evaluated at the diarization track of the VoxCeleb Speaker Recognition Challenge(VoxSRC) ...
2020. ...
1st at the VoxSRC challenge 2020. ...
arXiv:2010.11458v2
fatcat:lstlnx5udjfbjlijufufsesfky
Tongji University Undergraduate Team for the VoxCeleb Speaker Recognition Challenge2020
[article]
2020
arXiv
pre-print
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The file type is application/pdf.
In this report, we discribe the submission of Tongji University undergraduate team to the CLOSE track of the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020 at Interspeech 2020. ...
Our fusion of two selected systems for the CLOSE track achieves 0.2973 DCF and 4.9700\% EER on the challenge evaluation set. ...
The authors would like to thank the organizing committees of the INTERSPEECH conferences for providing participant with the template files and the Naver Corporation for giving training framework and pre-trained ...
arXiv:2010.10145v1
fatcat:3ij6anxs3rhdfosp3bgbckfvre
The Idlab Voxsrc-20 Submission: Large Margin Fine-Tuning and Quality-Aware Score Calibration in DNN Based Speaker Verification
2021
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Preserved Fulltext
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The file type is application/pdf.
tracks of the Vox-Celeb Speaker Recognition Challenge 2020. ...
It enables the network to create more robust speaker embeddings by enabling the use of longer training utterances in combination with a more aggressive margin penalty. ...
For the VoxSRC-20 [30] test set results reported in Table 3 , the MinDCF is evaluated as defined in the challenge with a Ptarget value of 0.05. ...
doi:10.1109/icassp39728.2021.9414600
fatcat:zil3jqjohnh7zojziimsujdqy4
The DKU-DukeECE Systems for VoxCeleb Speaker Recognition Challenge 2020
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we present the system submission for the VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20) by the DKU-DukeECE team. ...
For track 4, we investigate the whole system pipeline for speaker diarization, including voice activity detection (VAD), uniform segmentation, speaker embedding extraction, and clustering. ...
Moreover, we adopt the speed perturbation using sox to increase the speaker number. The strategy also has a successful application in speech and speaker recognition tasks [5, 6] . ...
arXiv:2010.12731v1
fatcat:pleqx3wewbcozdbbobzwrxkfvy
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
2020
Interspeech 2020
Preserved Fulltext
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The proposed ECAPA-TDNN architecture significantly outperforms state-ofthe-art TDNN based systems on the VoxCeleb test sets and the 2019 VoxCeleb Speaker Recognition Challenge. ...
Current speaker verification techniques rely on a neural network to extract speaker representations. ...
However, experiments during the recently held Short-duration Speaker Verification (SdSV) Challenge 2020 [28] convinced us to incorporate summed residuals in the final ECAPA-TDNN architecture. ...
doi:10.21437/interspeech.2020-2650
dblp:conf/interspeech/DesplanquesTD20
fatcat:os4wy7dwljgslm6bicxh5px4vi
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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The proposed ECAPA-TDNN architecture significantly outperforms state-of-the-art TDNN based systems on the VoxCeleb test sets and the 2019 VoxCeleb Speaker Recognition Challenge. ...
Current speaker verification techniques rely on a neural network to extract speaker representations. ...
However, experiments during the recently held Short-duration Speaker Verification (SdSV) Challenge 2020 [28] convinced us to incorporate summed residuals in the final ECAPA-TDNN architecture. ...
arXiv:2005.07143v3
fatcat:jktx5lialjasjkk3t4k3iw5y5e
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