306 citations
- University of Eastern FinlandFI61 papers
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- Institute for Infocomm ResearchSG3 papers
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6 papers · 1 filter
I Hear, Therefore I Trust: A Socio-Technical Investigation of Humans as Synthetic Speech Detectors
Lelia Erscoi, Tomi Kinnunen
Automatic deepfake detection has received considerable research attention, yet the socio-technical environment in which humans actually encounter synthetic speech remains poorly un…
A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings
Xuechen Liu, Md Sahidullah, Tomi Kinnunen
Modern automatic speaker verification relies largely on deep neural networks (DNNs) trained on mel-frequency cepstral coefficient (MFCC) features. While there are alternative featu…
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…
ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection
Massimiliano Todisco, Xin Wang, Ville Vestman +7
ASVspoof, now in its third edition, is a series of community-led challenges which promote the development of countermeasures to protect automatic speaker verification (ASV) from th…
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…