Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Brij Mohan Lal Srivastava"'
Autor:
Ali Shahin Shamsabadi, Brij Mohan Lal Srivastava, Aurélien Bellet, Nathalie Vauquier, Emmanuel Vincent, Mohamed Maouche, Marc Tommasi, Nicolas Papernot
Publikováno v:
Proceedings on Privacy Enhancing Technologies
Proceedings on Privacy Enhancing Technologies, 2023, 2023 (1)
Proceedings on Privacy Enhancing Technologies, 2023, 2023 (1), ⟨10.48550/arXiv.2202.11823⟩
Proceedings on Privacy Enhancing Technologies, 2023, 2023 (1)
Proceedings on Privacy Enhancing Technologies, 2023, 2023 (1), ⟨10.48550/arXiv.2202.11823⟩
International audience; Sharing real-world speech utterances is key to the training and deployment of voice-based services. However, it also raises privacy risks as speech contains a wealth of personal data. Speaker anonymization aims to remove speak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c43fc58d17be944b82095e3f6520e3b5
https://inria.hal.science/hal-03588932
https://inria.hal.science/hal-03588932
Autor:
Brij Mohan Lal Srivastava, Mohamed Maouche, Md Sahidullah, Emmanuel Vincent, Aurelien Bellet, Marc Tommasi, Natalia Tomashenko, Xin Wang, Junichi Yamagishi
Publikováno v:
IEEE/ACM Transactions on Audio, Speech and Language Processing
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022, ⟨10.1109/TASLP.2022.3190741⟩
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022, ⟨10.1109/TASLP.2022.3190741⟩
International audience; We study the scenario where individuals (speakers) contribute to the publication of an anonymized speech corpus. Data users then leverage this public corpus to perform downstream tasks (such as training automatic speech recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::078334922c49b17cd7378abbb51a9438
https://inria.hal.science/hal-03197376v3/document
https://inria.hal.science/hal-03197376v3/document
Autor:
Emmanuel Vincent, Jose Patino, Natalia A. Tomashenko, Kong Aik Lee, Jean-François Bonastre, Sahidullah, Massimiliano Todisco, Nicholas Evans, Xin Wang, Paul-Gauthier Noé, Héctor Delgado, Xuechen Liu, Tomi Kinnunen, Junichi Yamagishi, Andreas Nautsch, Brij Mohan Lal Srivastava
Publikováno v:
SPSC 2021-1st ISCA Symposium on Security and Privacy in Speech Communication
SPSC 2021-1st ISCA Symposium on Security and Privacy in Speech Communication, ISCA, Nov 2021, Magdeburg, Germany. ⟨10.21437/SPSC.2021-11⟩
SPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication
SPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication, ISCA, Nov 2021, Magdeburg, Germany. ⟨10.21437/SPSC.2021-11⟩
SPSC 2021-1st ISCA Symposium on Security and Privacy in Speech Communication, ISCA, Nov 2021, Magdeburg, Germany. ⟨10.21437/SPSC.2021-11⟩
SPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication
SPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication, ISCA, Nov 2021, Magdeburg, Germany. ⟨10.21437/SPSC.2021-11⟩
For many decades, research in speech technologies has focused upon improving reliability. With this now meeting user expectations for a range of diverse applications, speech technology is today omni-present. As result, a focus on security and privacy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1859008678f400f9d527a4c18dc28aa
https://hal.science/hal-03346196
https://hal.science/hal-03346196
Autor:
Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Jose Patino, Brij Mohan Lal Srivastava, Paul-Gauthier Noé, Andreas Nautsch, Nicholas Evans, Junichi Yamagishi, Benjamin O’Brien, Anaïs Chanclu, Jean-François Bonastre, Massimiliano Todisco, Mohamed Maouche
Publikováno v:
Computer Speech and Language
Computer Speech and Language, 2022, 74, pp.101362. ⟨10.1016/j.csl.2022.101362⟩
Computer Speech and Language, Elsevier, 2022, 74, pp.101362. ⟨10.1016/j.csl.2022.101362⟩
Computer Speech and Language, 2022, 74, pp.101362. ⟨10.1016/j.csl.2022.101362⟩
Computer Speech and Language, Elsevier, 2022, 74, pp.101362. ⟨10.1016/j.csl.2022.101362⟩
This paper presents the results and analyses stemming from the first VoicePrivacy 2020 Challenge which focuses on developing anonymization solutions for speech technology. We provide a systematic overview of the challenge design with an analysis of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4956d684be2723627c42a0e95911eb4c
https://hal.archives-ouvertes.fr/hal-03332224
https://hal.archives-ouvertes.fr/hal-03332224
Autor:
Junichi Yamagishi, Brij Mohan Lal Srivastava, Andreas Nautsch, Emmanuel Vincent, Jean-François Bonastre, Nicholas Evans, Xin Wang, Natalia A. Tomashenko, Jose Patino, Paul-Gauthier Noé, Massimiliano Todisco
Publikováno v:
INTERSPEECH 2020
INTERSPEECH 2020, Oct 2020, Shanghai, China
INTERSPEECH
HAL
INTERSPEECH 2020, Oct 2020, Shanghai, China
INTERSPEECH
HAL
The VoicePrivacy initiative aims to promote the development of privacy preservation tools for speech technology by gathering a new community to define the tasks of interest and the evaluation methodology, and benchmarking solutions through a series o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0da5619b74aa97004278b766e2632a0f
https://inria.hal.science/hal-02562199v3/document
https://inria.hal.science/hal-02562199v3/document
Autor:
Aurélien Bellet, Emmanuel Vincent, Brij Mohan Lal Srivastava, Nathalie Vauquier, Marc Tommasi, Mohamed Maouche
Publikováno v:
INTERSPEECH 2020
INTERSPEECH 2020, Oct 2020, Shanghai, China
INTERSPEECH
INTERSPEECH 2020, Oct 2020, Shanghai, China
INTERSPEECH
International audience; Speech anonymization techniques have recently been proposed for preserving speakers' privacy. They aim at concealing speak-ers' identities while preserving the spoken content. In this study, we compare three metrics proposed i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a667654df73ddb00ec8d68544c048d31
https://inria.hal.science/hal-02907918/file/anonymization_metrics_IS2020.pdf
https://inria.hal.science/hal-02907918/file/anonymization_metrics_IS2020.pdf
Autor:
Xin Wang, Junichi Yamagishi, Brij Mohan Lal Srivastava, Marc Tommasi, Emmanuel Vincent, Aurélien Bellet, Natalia A. Tomashenko, Mohamed Maouche
Publikováno v:
INTERSPEECH 2020
INTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China
INTERSPEECH
INTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China
INTERSPEECH
International audience; The recently proposed x-vector based anonymization scheme converts any input voice into that of a random pseudo-speaker. In this paper, we present a flexible pseudo-speaker selection technique as a baseline for the first Voice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4a430637e6c012d0314c9b2fd9a46d1
https://hal.archives-ouvertes.fr/hal-02610447v2/document
https://hal.archives-ouvertes.fr/hal-02610447v2/document
Autor:
Emmanuel Vincent, Brij Mohan Lal Srivastava, Sahidullah, Marc Tommasi, Aurélien Bellet, Nathalie Vauquier
Publikováno v:
ICASSP 2020-45th International Conference on Acoustics, Speech, and Signal Processing
ICASSP 2020-45th International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, May 2020, Barcelona, Spain
ICASSP 2020-45th International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, May 2020, Barcelona, Spain. pp.2802-2806
ICASSP
ICASSP 2020-45th International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, May 2020, Barcelona, Spain
ICASSP 2020-45th International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, May 2020, Barcelona, Spain. pp.2802-2806
ICASSP
International audience; Speech data conveys sensitive speaker attributes like identity or accent. With a small amount of found data, such attributes can be inferred and exploited for malicious purposes: voice cloning, spoofing, etc. Anonymization aim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00b68393fa49055f11efcaef345b1514
https://hal.inria.fr/hal-02355115v2/document
https://hal.inria.fr/hal-02355115v2/document
Publikováno v:
INTERSPEECH
INTERSPEECH 2019-20th Annual Conference of the International Speech Communication Association
INTERSPEECH 2019-20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria
INTERSPEECH 2019-20th Annual Conference of the International Speech Communication Association
INTERSPEECH 2019-20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria
International audience; Automatic speech recognition (ASR) is a key technology in many services and applications. This typically requires user devices to send their speech data to the cloud for ASR decoding. As the speech signal carries a lot of info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3cfd9abe8c7895de93b0b2c4dee4d14
https://doi.org/10.21437/interspeech.2019-2415
https://doi.org/10.21437/interspeech.2019-2415
Publikováno v:
INTERSPEECH
Code-switching or mixing is the use of multiple languages in a single utterance or conversation. Borrowing occurs when a word from a foreign language becomes part of the vocabulary of a language. In multilingual societies, switching/mixing and borrow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74427a3e4bbd223f5db55c0aec3fe83c
https://doi.org/10.21437/interspeech.2018-1171
https://doi.org/10.21437/interspeech.2018-1171