Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Patino, Jose"'
Biometric data contains distinctive human traits such as facial features or gait patterns. The use of biometric data permits an individuation so exact that the data is utilized effectively in identification and authentication systems. But for this sa
Externí odkaz:
http://arxiv.org/abs/2304.01635
Autor:
Liu, Xuechen, Wang, Xin, Sahidullah, Md, Patino, Jose, Delgado, Héctor, Kinnunen, Tomi, Todisco, Massimiliano, Yamagishi, Junichi, Evans, Nicholas, Nautsch, Andreas, Lee, Kong Aik
Benchmarking initiatives support the meaningful comparison of competing solutions to prominent problems in speech and language processing. Successive benchmarking evaluations typically reflect a progressive evolution from ideal lab conditions towards
Externí odkaz:
http://arxiv.org/abs/2210.02437
Autor:
Tomashenko, Natalia, Srivastava, Brij Mohan Lal, Wang, Xin, Vincent, Emmanuel, Nautsch, Andreas, Yamagishi, Junichi, Evans, Nicholas, Patino, Jose, Bonastre, Jean-François, Noé, Paul-Gauthier, Todisco, Massimiliano
The VoicePrivacy Challenge 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 of
Externí odkaz:
http://arxiv.org/abs/2205.07123
The current outbreak of a coronavirus, has quickly escalated to become a serious global problem that has now been declared a Public Health Emergency of International Concern by the World Health Organization. Infectious diseases know no borders, so wh
Externí odkaz:
http://arxiv.org/abs/2201.09110
This paper introduces RawBoost, a data boosting and augmentation method for the design of more reliable spoofing detection solutions which operate directly upon raw waveform inputs. While RawBoost requires no additional data sources, e.g. noise recor
Externí odkaz:
http://arxiv.org/abs/2111.04433
Substantial progress in spoofing and deepfake detection has been made in recent years. Nonetheless, the community has yet to make notable inroads in providing an explanation for how a classifier produces its output. The dominance of black box spoofin
Externí odkaz:
http://arxiv.org/abs/2110.03309
Autor:
Tomashenko, Natalia, Wang, Xin, Vincent, Emmanuel, Patino, Jose, Srivastava, Brij Mohan Lal, Noé, Paul-Gauthier, Nautsch, Andreas, Evans, Nicholas, Yamagishi, Junichi, O'Brien, Benjamin, Chanclu, Anaïs, Bonastre, Jean-François, Todisco, Massimiliano, Maouche, Mohamed
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:
http://arxiv.org/abs/2109.00648
Autor:
Yamagishi, Junichi, Wang, Xin, Todisco, Massimiliano, Sahidullah, Md, Patino, Jose, Nautsch, Andreas, Liu, Xuechen, Lee, Kong Aik, Kinnunen, Tomi, Evans, Nicholas, Delgado, Héctor
ASVspoof 2021 is the forth edition in the series of bi-annual challenges which aim to promote the study of spoofing and the design of countermeasures to protect automatic speaker verification systems from manipulation. In addition to a continued focu
Externí odkaz:
http://arxiv.org/abs/2109.00537
ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan
Autor:
Delgado, Héctor, Evans, Nicholas, Kinnunen, Tomi, Lee, Kong Aik, Liu, Xuechen, Nautsch, Andreas, Patino, Jose, Sahidullah, Md, Todisco, Massimiliano, Wang, Xin, Yamagishi, Junichi
The automatic speaker verification spoofing and countermeasures (ASVspoof) challenge series is a community-led initiative which aims to promote the consideration of spoofing and the development of countermeasures. ASVspoof 2021 is the 4th in a series
Externí odkaz:
http://arxiv.org/abs/2109.00535
Autor:
Bonastre, Jean-Francois, Delgado, Hector, Evans, Nicholas, Kinnunen, Tomi, Lee, Kong Aik, Liu, Xuechen, Nautsch, Andreas, Noe, Paul-Gauthier, Patino, Jose, Sahidullah, Md, Srivastava, Brij Mohan Lal, Todisco, Massimiliano, Tomashenko, Natalia, Vincent, Emmanuel, Wang, Xin, Yamagishi, Junichi
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:
http://arxiv.org/abs/2109.00281