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20182026
most citedMOSNet: Deep Learning based Objective Assessment for Voice Conversion

262 citations · 1.1k across the 80 of their papers we have counts for

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Showing 2021Show all

14 papers · 1 filter

eess.AS2021★ 12 cited

Investigating self-supervised front ends for speech spoofing countermeasures

Xin Wang, Junichi Yamagishi

Self-supervised speech model is a rapid progressing research topic, and many pre-trained models have been released and used in various down stream tasks. For speech anti-spoofing,…

eess.AS2021

Estimating the confidence of speech spoofing countermeasure

Xin Wang, Junichi Yamagishi

Conventional speech spoofing countermeasures (CMs) are designed to make a binary decision on an input trial. However, a CM trained on a closed-set database is theoretically not gua…

cs.CL2021★ 106 cited

The VoicePrivacy 2020 Challenge: Results and findings

Natalia Tomashenko, Xin Wang, Emmanuel Vincent +11

This paper presents the results and analyses stemming from the first VoicePrivacy 2020 Challenge which focuses on developing anonymization solutions for speech technology. We provi…

eess.AS2021

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

Junichi Yamagishi, Xin Wang, Massimiliano Todisco +8

ASVspoof 2021 is the forth edition in the series of bi-annual challenges which aim to promote the study of spoofing and the design of countermeasures to protect automatic speaker v…

eess.AS2021★ 131 cited

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

Héctor Delgado, Nicholas Evans, Tomi Kinnunen +8

The automatic speaker verification spoofing and countermeasures (ASVspoof) challenge series is a community-led initiative which aims to promote the consideration of spoofing and th…

cs.CR2021★ 2 cited

Benchmarking and challenges in security and privacy for voice biometrics

Jean-Francois Bonastre, Hector Delgado, Nicholas Evans +13

For many decades, research in speech technologies has focused upon improving reliability. With this now meeting user expectations for a range of diverse applications, speech techno…