research
∙
09/11/2023
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech
Self-supervised learning (SSL) is at the origin of unprecedented improve...
share
research
∙
05/30/2023
Language-independent speaker anonymization using orthogonal Householder neural network
Speaker anonymization aims to conceal a speaker's identity while preserv...
research
∙
02/20/2023
Federated Learning for ASR based on Wav2vec 2.0
This paper presents a study on the use of federated learning to train an...
research
∙
05/14/2022
The VoicePrivacy 2020 Challenge Evaluation Plan
The VoicePrivacy Challenge aims to promote the development of privacy pr...
research
∙
04/04/2022
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems
Self-supervised models for speech processing emerged recently as popular...
research
∙
03/28/2022
Analyzing Language-Independent Speaker Anonymization Framework under Unseen Conditions
In our previous work, we proposed a language-independent speaker anonymi...
research
∙
03/23/2022
The VoicePrivacy 2022 Challenge Evaluation Plan
For new participants - Executive summary: (1) The task is to develop a v...
research
∙
02/26/2022
Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models
Speaker anonymization aims to protect the privacy of speakers while pres...
research
∙
11/07/2021
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition
The widespread of powerful personal devices capable of collecting voice ...
research
∙
11/06/2021
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework
This paper investigates methods to effectively retrieve speaker informat...
research
∙
09/01/2021
The VoicePrivacy 2020 Challenge: Results and findings
This paper presents the results and analyses stemming from the first Voi...
research
∙
09/01/2021
Benchmarking and challenges in security and privacy for voice biometrics
For many decades, research in speech technologies has focused upon impro...
research
∙
04/23/2021
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
Self-Supervised Learning (SSL) using huge unlabeled data has been succes...
research
∙
11/02/2020
Speaker anonymisation using the McAdams coefficient
Anonymisation has the goal of manipulating speech signals in order to de...
research
∙
08/30/2020
Speech Pseudonymisation Assessment Using Voice Similarity Matrices
The proliferation of speech technologies and rising privacy legislation ...
research
∙
05/24/2020
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020
This paper describes the ON-TRAC Consortium translation systems develope...
research
∙
05/19/2020
The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment
Mounting privacy legislation calls for the preservation of privacy in sp...
research
∙
05/18/2020
Design Choices for X-vector Based Speaker Anonymization
The recently proposed x-vector based anonymization scheme converts any i...
research
∙
05/04/2020
Introducing the VoicePrivacy Initiative
The VoicePrivacy initiative aims to promote the development of privacy p...
research
∙
03/15/2020
Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models
In this paper we investigate the GMM-derived (GMMD) features for adaptat...
research
∙
02/14/2020
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems
This work investigates the embeddings for representing dialog history in...
research
∙
10/30/2019
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task
This paper describes the ON-TRAC Consortium translation systems develope...
research
∙
09/29/2019
Recent Advances in End-to-End Spoken Language Understanding
This work investigates spoken language understanding (SLU) systems in th...
research
∙
06/18/2019
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability
We present an end-to-end approach to extract semantic concepts directly ...
research
∙
05/12/2018
TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation
In this paper, we present TED-LIUM release 3 corpus dedicated to speech ...
research
∙
07/19/2017