175 citations · 709 across the 60 of their papers we have counts for
11 papers · 1 filter
Can We Use Speaker Recognition Technology to Attack Itself? Enhancing Mimicry Attacks Using Automatic Target Speaker Selection
Tomi Kinnunen, Rosa González Hautamäki, Ville Vestman +1
We consider technology-assisted mimicry attacks in the context of automatic speaker verification (ASV). We use ASV itself to select targeted speakers to be attacked by human-based…
Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search
Ville Vestman, Bilal Soomro, Anssi Kanervisto +2
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. Th…
Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems
Fuming Fang, Junichi Yamagishi, Isao Echizen +2
Automatic speaker verification (ASV) systems use a playback detector to filter out playback attacks and ensure verification reliability. Since current playback detection models are…
Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks
Akihiro Kato, Tomi Kinnunen
The fundamental frequency (F0) represents pitch in speech that determines prosodic characteristics of speech and is needed in various tasks for speech analysis and synthesis. Despi…
Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification
Rosa González Hautamäki, Anssi Kanervisto, Ville Hautamäki +1
Voice disguise, purposeful modification of one's speaker identity with the aim of avoiding being identified as oneself, is a low-effort way to fool speaker recognition, whether per…
A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech
Akihiro Kato, Tomi Kinnunen
The fundamental frequency (F0) contour of speech is a key aspect to represent speech prosody that finds use in speech and spoken language analysis such as voice conversion and spee…
Supervector Compression Strategies to Speed up I-Vector System Development
Ville Vestman, Tomi Kinnunen
The front-end factor analysis (FEFA), an extension of principal component analysis (PPCA) tailored to be used with Gaussian mixture models (GMMs), is currently the prevalent approa…
The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods
Jaime Lorenzo-Trueba, Junichi Yamagishi, Tomoki Toda +4
We present the Voice Conversion Challenge 2018, designed as a follow up to the 2016 edition with the aim of providing a common framework for evaluating and comparing different stat…
t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification
Tomi Kinnunen, Kong Aik Lee, Hector Delgado +5
The ASVspoof challenge series was born to spearhead research in anti-spoofing for automatic speaker verification (ASV). The two challenge editions in 2015 and 2017 involved the ass…
A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment
Tomi Kinnunen, Jaime Lorenzo-Trueba, Junichi Yamagishi +4
Voice conversion (VC) aims at conversion of speaker characteristic without altering content. Due to training data limitations and modeling imperfections, it is difficult to achieve…
Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama's voice using GAN, WaveNet and low-quality found data
Jaime Lorenzo-Trueba, Fuming Fang, Xin Wang +3
Thanks to the growing availability of spoofing databases and rapid advances in using them, systems for detecting voice spoofing attacks are becoming more and more capable, and erro…