106 citations · 315 across the 24 of their papers we have counts for
12 papers · 1 filter
Acoustic domain shift in spoken language identification from systematic domain generalization evaluation to real-world application
Francois Derrida, Raphaël Duroselle, Thomas Courtat +1
Domain Generalization (DG) aims to develop models that remain robust to conditions unseen during training. While DG has been systematically studied in computer vision through contr…
a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verification
Hye-jin Shim, Jee-weon Jung, Tomi Kinnunen +3
Spoofing detection is today a mainstream research topic. Standard metrics can be applied to evaluate the performance of isolated spoofing detection solutions and others have been p…
Thech. Report: Genuinization of Speech waveform PMF for speaker detection spoofing and countermeasures
Itshak Lapidot, Jean-Francois Bonastre
In the context of spoofing attacks in speaker recognition systems, we observed that the waveform probability mass function (PMF) of genuine speech differs significantly from the PM…
Federated Learning for ASR based on Wav2vec 2.0
Tuan Nguyen, Salima Mdhaffar, Natalia Tomashenko +2
This paper presents a study on the use of federated learning to train an ASR model based on a wav2vec 2.0 model pre-trained by self supervision. Carried out on the well-known TED-L…
Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipeline
Paul-Gauthier Noé, Xiaoxiao Miao, Xin Wang +3
The use of modern vocoders in an analysis/synthesis pipeline allows us to investigate high-quality voice conversion that can be used for privacy purposes. Here, we propose to trans…
The VoicePrivacy 2022 Challenge Evaluation Plan
Natalia Tomashenko, Xin Wang, Xiaoxiao Miao +7
For new participants - Executive summary: (1) The task is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting lingu…
Revisiting Speech Content Privacy
Jennifer Williams, Junichi Yamagishi, Paul-Gauthier Noe +2
In this paper, we discuss an important aspect of speech privacy: protecting spoken content. New capabilities from the field of machine learning provide a unique and timely opportun…
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation
Paul-Gauthier Noé, Mohammad Mohammadamini, Driss Matrouf +3
In speech technologies, speaker's voice representation is used in many applications such as speech recognition, voice conversion, speech synthesis and, obviously, user authenticati…
Speech Pseudonymisation Assessment Using Voice Similarity Matrices
Paul-Gauthier Noé, Jean-François Bonastre, Driss Matrouf +3
The proliferation of speech technologies and rising privacy legislation calls for the development of privacy preservation solutions for speech applications. These are essential sin…
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…
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…
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…