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20182023
most citedASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech

175 citations · 832 across the 44 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

eess.AS2019

The Speed Submission to DIHARD II: Contributions & Lessons Learned

Md Sahidullah, Jose Patino, Samuele Cornell +11

This paper describes the speaker diarization systems developed for the Second DIHARD Speech Diarization Challenge (DIHARD II) by the Speed team. Besides describing the system, whic…

eess.AS2019★ 11 cited

ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

Xin Wang, Junichi Yamagishi, Massimiliano Todisco +37

Automatic speaker verification (ASV) is one of the most natural and convenient means of biometric person recognition. Unfortunately, just like all other biometric systems, ASV is v…

eess.AS2019★ 53 cited

The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps towards a Common Understanding

Andreas Nautsch, Catherine Jasserand, Els Kindt +3

Privacy preservation and the protection of speech data is in high demand, not least as a result of recent regulation, e.g. the General Data Protection Regulation (GDPR) in the EU.…

eess.AS2019

Privacy-Preserving Speaker Recognition with Cohort Score Normalisation

Andreas Nautsch, Jose Patino, Amos Treiber +5

In many voice biometrics applications there is a requirement to preserve privacy, not least because of the recently enforced General Data Protection Regulation (GDPR). Though progr…

eess.AS2019★ 8 cited

Speaker Anonymization Using X-vector and Neural Waveform Models

Fuming Fang, Xin Wang, Junichi Yamagishi +4

The social media revolution has produced a plethora of web services to which users can easily upload and share multimedia documents. Despite the popularity and convenience of such…

eess.AS2019★ 3 cited

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen +43

The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which…