no code implementations • LREC 2022 • Tugtekin Turan, Dietrich Klakow, Emmanuel Vincent, Denis Jouvet
In recent years, voice-controlled personal assistants have revolutionized the interaction with smart devices and mobile applications.
no code implementations • 15 Apr 2023 • Hubert Nourtel, Pierre Champion, Denis Jouvet, Anthony Larcher, Marie Tahon
This paper studies the impact of the speaker anonymization baseline system of the VPC on emotional information present in speech utterances.
no code implementations • 22 Aug 2022 • Pierre Champion, Denis Jouvet, Anthony Larcher
We propose enhancing the disentanglement by removing speaker information from the acoustic model using vector quantization.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 15 Mar 2022 • 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 sensitive information, such as the speaker's identity, which raises privacy concerns. The presented experiments show that the representations extracted by the deep layers of speech recognition networks contain speaker information. This paper aims to produce an anonymous representation while preserving speech recognition performance. To this end, we propose to use vector quantization to constrain the representation space and induce the network to suppress the speaker identity. The choice of the quantization dictionary size allows to configure the trade-off between utility (speech recognition) and privacy (speaker identity concealment).
1 code implementation • 8 Oct 2021 • Pierre Champion, Thomas Thebaud, Gaël Le Lan, Anthony Larcher, Denis Jouvet
This paper explores various attack scenarios on a voice anonymization system using embeddings alignment techniques.
no code implementations • 24 Sep 2021 • 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 randomly selected.
no code implementations • 21 Jan 2021 • 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.
no code implementations • JEPTALNRECITAL 2020 • Lou Lee, Denis Jouvet, Katarina Bartkova, Yvon Keromnes, Mathilde Dargnat
L{'}analyse a {\'e}t{\'e} effectu{\'e}e sur plusieurs centaines d{'}occurrences de marqueurs discursifs extraits de corpus oraux fran{\c{c}}ais et anglais.
no code implementations • JEPTALNRECITAL 2020 • Mohamed Amine Menacer, Dominique Fohr, Denis Jouvet, Karima Abidi, David Langlois, Kamel Sma{\"\i}li
Un autre objectif du projet {\'e}tait aussi de comparer les opinions et sentiments exprim{\'e}s dans plusieurs vid{\'e}os comparables.
no code implementations • JEPTALNRECITAL 2020 • Rapha{\"e}l Duroselle, Denis Jouvet, Irina Illina
Sur le corpus RATS, pour sept des huit canaux radio {\'e}tudi{\'e}s, l{'}approche permet, sans utiliser de donn{\'e}es annot{\'e}es du domaine cible, de surpasser la performance d{'}un syst{\`e}me entra{\^\i}n{\'e} de fa{\c{c}}on supervis{\'e}e avec des donn{\'e}es annot{\'e}es de ce domaine.
no code implementations • WS 2017 • Mohamed Amine Menacer, Odile Mella, Dominique Fohr, Denis Jouvet, David Langlois, Kamel Smaili
Despite all the classical techniques for Automatic Speech Recognition (ASR), which can be efficiently applied to Arabic speech recognition, it is essential to take into consideration the language specificities to improve the system performance.
no code implementations • LREC 2016 • Juergen Trouvain, Anne Bonneau, Vincent Colotte, Camille Fauth, Dominique Fohr, Denis Jouvet, Jeanin J{\"u}gler, Yves Laprie, Odile Mella, Bernd M{\"o}bius, Frank Zimmerer
The IFCASL corpus is a French-German bilingual phonetic learner corpus designed, recorded and annotated in a project on individualized feedback in computer-assisted spoken language learning.
no code implementations • LREC 2014 • Camille Fauth, Anne Bonneau, Frank Zimmerer, Juergen Trouvain, Bistra Andreeva, Vincent Colotte, Dominique Fohr, Denis Jouvet, Jeanin J{\"u}gler, Yves Laprie, Odile Mella, Bernd M{\"o}bius
We present the design of a corpus of native and non-native speech for the language pair French-German, with a special emphasis on phonetic and prosodic aspects.
no code implementations • JEPTALNRECITAL 2012 • Denis Jouvet, Arseniy Gorin, Nicolas Vinuesa
no code implementations • JEPTALNRECITAL 2012 • Luiza Orosanu, Denis Jouvet, Dominique Fohr, Irina Illina, Anne Bonneau