Search Results for author: Ville Vestman

Found 13 papers, 1 papers with code

Extrapolating false alarm rates in automatic speaker verification

no code implementations8 Aug 2020 Alexey Sholokhov, Tomi Kinnunen, Ville Vestman, Kong Aik Lee

Automatic speaker verification (ASV) vendors and corpus providers would both benefit from tools to reliably extrapolate performance metrics for large speaker populations without collecting new speakers.

Speaker Verification

UIAI System for Short-Duration Speaker Verification Challenge 2020

no code implementations26 Jul 2020 Md Sahidullah, Achintya Kumar Sarkar, Ville Vestman, Xuechen Liu, Romain Serizel, Tomi Kinnunen, Zheng-Hua Tan, Emmanuel Vincent

Our primary submission to the challenge is the fusion of seven subsystems which yields a normalized minimum detection cost function (minDCF) of 0. 072 and an equal error rate (EER) of 2. 14% on the evaluation set.

Text-Dependent Speaker Verification

Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals

no code implementations12 Jul 2020 Tomi Kinnunen, Héctor Delgado, Nicholas Evans, Kong Aik Lee, Ville Vestman, Andreas Nautsch, Massimiliano Todisco, Xin Wang, Md Sahidullah, Junichi Yamagishi, Douglas A. Reynolds

Recent years have seen growing efforts to develop spoofing countermeasures (CMs) to protect automatic speaker verification (ASV) systems from being deceived by manipulated or artificial inputs.

Speaker Verification

Neural i-vectors

no code implementations3 Apr 2020 Ville Vestman, Kong Aik Lee, Tomi H. Kinnunen

To combine the benefits of high performance and generative interpretation, we investigate the use of deep embedding extractor and i-vector extractor in succession.

Speaker Recognition Speaker Verification

Voice Biometrics Security: Extrapolating False Alarm Rate via Hierarchical Bayesian Modeling of Speaker Verification Scores

no code implementations4 Nov 2019 Alexey Sholokhov, Tomi Kinnunen, Ville Vestman, Kong Aik Lee

We put forward a novel performance assessment framework to address both the inadequacy of the random-impostor evaluation model and the size limitation of evaluation corpora by addressing ASV security against closest impostors on arbitrarily large datasets.

Speaker Verification

Unleashing the Unused Potential of I-Vectors Enabled by GPU Acceleration

no code implementations20 Jun 2019 Ville Vestman, Kong Aik Lee, Tomi H. Kinnunen, Takafumi Koshinaka

In particular, we achieve an acceleration of 3000 times in frame posterior computation compared to real time and 25 times in training the i-vector extractor compared to the CPU baseline from Kaldi toolkit.

Speaker Verification

Voice Mimicry Attacks Assisted by Automatic Speaker Verification

no code implementations3 Jun 2019 Ville Vestman, Tomi Kinnunen, Rosa González Hautamäki, Md Sahidullah

Our goal is to gain insights how well similarity rankings transfer from the attacker's ASV system to the attacked ASV system, whether the attackers are able to improve their attacks by mimicking, and how the properties of the voices of attackers change due to mimicking.

Speaker Verification

Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search

1 code implementation8 Nov 2018 Ville Vestman, Bilal Soomro, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen

The popularization of science can often be disregarded by scientists as it may be challenging to put highly sophisticated research into words that general public can understand.

Audio and Speech Processing Sound

Supervector Compression Strategies to Speed up I-Vector System Development

no code implementations3 May 2018 Ville Vestman, Tomi Kinnunen

The results suggest that, in terms of ASV accuracy, the supervector compression approaches are on a par with FEFA.

Speaker Verification

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