5 citations · 17 across the 12 of their papers we have counts for
13 papers
Do we really need Self-Attention for Streaming Automatic Speech Recognition?
Youness Dkhissi, Valentin Vielzeuf, Elys Allesiardo +1
Transformer-based architectures are the most used architectures in many deep learning fields like Natural Language Processing, Computer Vision or Speech processing. It may encourag…
Supervised and Unsupervised Alignments for Spoofing Behavioral Biometrics
Thomas Thebaud, Gaël Le Lan, Anthony Larcher
Biometric recognition systems are security systems based on intrinsic properties of their users, usually encoded in high dimension representations called embeddings, which potentia…
Joint speech and overlap detection: a benchmark over multiple audio setup and speech domains
Martin Lebourdais, Théo Mariotte, Marie Tahon +5
Voice activity and overlapped speech detection (respectively VAD and OSD) are key pre-processing tasks for speaker diarization. The final segmentation performance highly relies on…
Multi-microphone Automatic Speech Segmentation in Meetings Based on Circular Harmonics Features
Théo Mariotte, Anthony Larcher, Silvio Montrésor +1
Speaker diarization is the task of answering Who spoke and when? in an audio stream. Pipeline systems rely on speech segmentation to extract speakers' segments and achieve robust s…
Evaluation of Speaker Anonymization on Emotional Speech
Hubert Nourtel, Pierre Champion, Denis Jouvet +2
Speech data carries a range of personal information, such as the speaker's identity and emotional state. These attributes can be used for malicious purposes. With the development o…
Are disentangled representations all you need to build speaker anonymization systems?
Pierre Champion, Denis Jouvet, Anthony Larcher
Speech signals contain a lot of sensitive information, such as the speaker's identity, which raises privacy concerns when speech data get collected. Speaker anonymization aims to t…
Privacy-Preserving Speech Representation Learning using Vector Quantization
Pierre Champion, Denis Jouvet, Anthony Larcher
With the popularity of virtual assistants (e.g., Siri, Alexa), the use of speech recognition is now becoming more and more widespread.However, speech signals contain a lot of sensi…
On the invertibility of a voice privacy system using embedding alignement
Pierre Champion, Thomas Thebaud, Gaël Le Lan +2
This paper explores various attack scenarios on a voice anonymization system using embeddings alignment techniques. We use Wasserstein-Procrustes (an algorithm initially designed f…
Evaluating X-vector-based Speaker Anonymization under White-box Assessment
Pierre Champion, Denis Jouvet, Anthony Larcher
In the scenario of the Voice Privacy challenge, anonymization is achieved by converting all utterances from a source speaker to match the same target identity; this identity being…
A Study of F0 Modification for X-Vector Based Speech Pseudonymization Across Gender
Pierre Champion, Denis Jouvet, Anthony Larcher
Speech pseudonymization aims at altering a speech signal to map the identifiable personal characteristics of a given speaker to another identity. In other words, it aims to hide th…
End-to-end anti-spoofing with RawNet2
Hemlata Tak, Jose Patino, Massimiliano Todisco +3
Spoofing countermeasures aim to protect automatic speaker verification systems from attempts to manipulate their reliability with the use of spoofed speech signals. While results f…
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…
Fantastic 4 system for NIST 2015 Language Recognition Evaluation
Kong Aik Lee, Ville Hautamäki, Anthony Larcher +14
This article describes the systems jointly submitted by Institute for Infocomm (IR), the Laboratoire d'Informatique de l'Université du Maine (LIUM), Nanyang Technology Universi…