Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Matrouf, Driss"'
Autor:
Noé, Paul-Gauthier, Miao, Xiaoxiao, Wang, Xin, Yamagishi, Junichi, Bonastre, Jean-François, Matrouf, Driss
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 transform the speaker embedding and the pitch in order to hide the sex of t
Externí odkaz:
http://arxiv.org/abs/2211.16065
Publikováno v:
4th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2022), Oct 2022, Corfu, Greece
Speaker verification (SV) suffers from unsatisfactory performance in far-field scenarios due to environmental noise andthe adverse impact of room reverberation. This work presents a benchmark of multichannel speech enhancement for far-fieldspeaker ve
Externí odkaz:
http://arxiv.org/abs/2210.08834
Autor:
Noé, Paul-Gauthier, Nautsch, Andreas, Matrouf, Driss, Bousquet, Pierre-Michel, Bonastre, Jean-François
Attribute-driven privacy aims to conceal a single user's attribute, contrary to anonymisation that tries to hide the full identity of the user in some data. When the attribute to protect from malicious inferences is binary, perfect privacy requires t
Externí odkaz:
http://arxiv.org/abs/2110.05840
Autor:
Noé, Paul-Gauthier, Mohammadamini, Mohammad, Matrouf, Driss, Parcollet, Titouan, Nautsch, Andreas, Bonastre, Jean-François
In speech technologies, speaker's voice representation is used in many applications such as speech recognition, voice conversion, speech synthesis and, obviously, user authentication. Modern vocal representations of the speaker are based on neural em
Externí odkaz:
http://arxiv.org/abs/2012.04454
Autor:
Noé, Paul-Gauthier, Bonastre, Jean-François, Matrouf, Driss, Tomashenko, Natalia, Nautsch, Andreas, Evans, Nicholas
The proliferation of speech technologies and rising privacy legislation calls for the development of privacy preservation solutions for speech applications. These are essential since speech signals convey a wealth of rich, personal and potentially se
Externí odkaz:
http://arxiv.org/abs/2008.13144
The explosion of available speech data and new speaker modeling methods based on deep neural networks (DNN) have given the ability to develop more robust speaker recognition systems. Among DNN speaker modelling techniques, x-vector system has shown a
Externí odkaz:
http://arxiv.org/abs/2006.15903
Autor:
Wang, Xin, Yamagishi, Junichi, Todisco, Massimiliano, Delgado, Hector, Nautsch, Andreas, Evans, Nicholas, Sahidullah, Md, Vestman, Ville, Kinnunen, Tomi, Lee, Kong Aik, Juvela, Lauri, Alku, Paavo, Peng, Yu-Huai, Hwang, Hsin-Te, Tsao, Yu, Wang, Hsin-Min, Maguer, Sebastien Le, Becker, Markus, Henderson, Fergus, Clark, Rob, Zhang, Yu, Wang, Quan, Jia, Ye, Onuma, Kai, Mushika, Koji, Kaneda, Takashi, Jiang, Yuan, Liu, Li-Juan, Wu, Yi-Chiao, Huang, Wen-Chin, Toda, Tomoki, Tanaka, Kou, Kameoka, Hirokazu, Steiner, Ingmar, Matrouf, Driss, Bonastre, Jean-Francois, Govender, Avashna, Ronanki, Srikanth, Zhang, Jing-Xuan, Ling, Zhen-Hua
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 vulnerable to spoofing, also referred to as "presentation attacks." The
Externí odkaz:
http://arxiv.org/abs/1911.01601
Autor:
Noé, Paul-Gauthier, Nautsch, Andreas, Evans, Nicholas, Patino, Jose, Bonastre, Jean-François, Tomashenko, Natalia, Matrouf, Driss
Publikováno v:
In Computer Speech & Language March 2022 72
Autor:
Rouvier, Mickael, Bousquet, Pierre-Michel, Ajili, Moez, Kheder, Waad Ben, Matrouf, Driss, Bonastre, Jean-François
This paper describes the LIA speaker recognition system developed for the Speaker Recognition Evaluation (SRE) campaign. Eight sub-systems are developed, all based on a state-of-the-art approach: i-vector/PLDA which represents the mainstream techniqu
Externí odkaz:
http://arxiv.org/abs/1612.05168
Autor:
Wang, Xin, Yamagishi, Junichi, Todisco, Massimiliano, Delgado, Héctor, Nautsch, Andreas, Evans, Nicholas, Sahidullah, Md, Vestman, Ville, Kinnunen, Tomi, Lee, Kong Aik, Juvela, Lauri, Alku, Paavo, Peng, Yu-Huai, Hwang, Hsin-Te, Tsao, Yu, Wang, Hsin-Min, Maguer, Sébastien Le, Becker, Markus, Henderson, Fergus, Clark, Rob, Zhang, Yu, Wang, Quan, Jia, Ye, Onuma, Kai, Mushika, Koji, Kaneda, Takashi, Jiang, Yuan, Liu, Li-Juan, Wu, Yi-Chiao, Huang, Wen-Chin, Toda, Tomoki, Tanaka, Kou, Kameoka, Hirokazu, Steiner, Ingmar, Matrouf, Driss, Bonastre, Jean-François, Govender, Avashna, Ronanki, Srikanth, Zhang, Jing-Xuan, Ling, Zhen-Hua
Publikováno v:
In Computer Speech & Language November 2020 64