Improving Robustnes in Automatic Speaker Recognition

Czech title:Zvýšení spolehlivosti v automatickém rozpoznávání řečníka
Reseach leader:Glembek Ondřej
Team leaders:Fér Radek, Novotný Ondřej
Agency:Czech Science Foundation
Code:GJ17-23870Y
Start:2017-01-01
End:2019-12-31
Keywords:automatic speaker recognition;robustness;adaptation;speech
Annotation:
Speaker recognition systems have gained very high recognition performance in the recent years. However, it has been shown that system performance degrades when the recognition data domain differs from the one used for system parameter training. Also, introducing additive noise (e.g. background traffic noise), convolutive noise (e.g. reverb of the room), or channel noise (e.g. telephone codec) to the recording further degrades the performance. The solutions to these issues are to a) seek for techniques for robust modeling, and b) to develop methods for system adaptation. In this project, we want to focus on both of these approaches.

Project description:
The goals of this project are research, development and analysis of universal adaptation techniques and techniques for increasing robustness in automatic speaker recognition.

Publications

2018MOŠNER Ladislav, MATĚJKA Pavel, NOVOTNÝ Ondřej and ČERNOCKÝ Jan. Dereverberation and Beamforming in Far-Field Speaker Recognition. In: Proceedings of ICASSP 2018. Calgary: IEEE Signal Processing Society, 2018, pp. 5254-5258. ISBN 978-1-5386-4658-8.
 ROHDIN Johan A., SILNOVA Anna, DIEZ Sánchez Mireia, PLCHOT Oldřich, MATĚJKA Pavel and BURGET Lukáš. End-to-End DNN Based Speaker Recognition Inspired by i-Vector and PLDA. In: Proceedings of ICASSP. Calgary: IEEE Signal Processing Society, 2018, pp. 4874-4878. ISBN 978-1-5386-4658-8.
2017PLCHOT Oldřich, MATĚJKA Pavel, SILNOVA Anna, NOVOTNÝ Ondřej, DIEZ Sánchez Mireia, ROHDIN Johan A., GLEMBEK Ondřej, BRÜMMER Niko, SWART Albert du Preez, PRIETO Jesús J., GARCIA Perera Leibny Paola, BUERA Luis, KENNY Patrick, ALAM Jahangir and BHATTACHARYA Gautam. Analysis and Description of ABC Submission to NIST SRE 2016. In: Proceedings of Interspeech 2017. Stockholm: International Speech Communication Association, 2017, pp. 1348-1352. ISSN 1990-9772.
 SILNOVA Anna, BURGET Lukáš and ČERNOCKÝ Jan. Alternative Approaches to Neural Network based Speaker Verification. In: Proceedings of Interspeech 2017. Stockholm: International Speech Communication Association, 2017, pp. 1572-1575. ISSN 1990-9772.

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