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Petr Motlicek
First name(s): Petr
Last name(s): Motlicek

Keywords:


Publications of Petr Motlicek sorted by recency
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Idiap & UAM participation at GermEval 2020: Classification and Regression of Cognitive and Motivational Style from Text, Esaú Villatoro-Tello, Shantipriya Parida, Sajit Kumar, Petr Motlicek and Qingran Zhan, in: Proceedings of the GermEval 2020 Shared Task on the Classification and Regression of Cognitive and Motivational style from Text, 2020
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Idiap Submission to Swiss-German Language Detection Shared Task, Shantipriya Parida, Esaú Villatoro-Tello, Sajit Kumar, Petr Motlicek and Qingran Zhan, in: Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), CEUR Workshop Proceedings, 2020
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AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS, Petr Motlicek, Hynek Hermansky, Srikanth Madikeri, Amrutha Prasad and Sriram Ganapathy, in: 11th International workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, Universita Degli Studi Firenze, Firenze, Italy, 2019
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Idiap NMT System for WAT 2019 Multimodal Translation Task, Shantipriya Parida and Petr Motlicek, in: Proceedings of the 6th Workshop on Asian Translation, Hong Kong, China, pages 175–180, Association for Computational Linguistics, 2019
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Idiap Abstract Text Summarization System for German Text Summarization Task, Shantipriya Parida and Petr Motlicek, in: Proceedings of the 4th edition of the Swiss Text Analytics Conference, 2019
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A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION, Srikanth Madikeri, Subhadeep Dey and Petr Motlicek, in: In Proceedings of ICASSP 2019, Brighton, ENGLAND, pages 5786-5790, 2019
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Abstract Text Summarization: A Low Resource Challenge, Shantipriya Parida and Petr Motlicek, in: In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), HongKong, China, pages 5, Association for Computational Linguistics (ACL), 2019
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Adaptation of Multiple Sound Source Localization Neural Networks with Weak Supervision and Domain-Adversarial Training, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, United Kingdom, pages 770-774, 2019
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Adaptation of Assistant Based Speech Recognition to New Domains and Its Acceptance by Air Traffic Controllers, Matthias Kleinert, Hartmut Helmke, Gerald Siol, heiko Ehr, Dietrich Klakow, Mittul Singh, Petr Motlicek, Kern Christian, Cerna Aneta and Hlousek Petr, in: Proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019): Integrating People and Intelligent Systems, San Diego, California, USA, pages 820 - 826, 2019
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SIIP: An Innovative Speaker Identification Approach for Law Enforcement Agencies, Khaled Khelif, yann Mombrun, Gideon Hazzani, Petr Motlicek, Srikanth Madikeri, Farhan Sahito, Damien Kelly, Luca Scarpatto, Emmanouil Chatzigavriil and Gerhard Backfried, in: Big Data and Artificial Intelligence for Military Decision Making, http://www.sto.nato.int/, pages PT-1 - 1: PT-1 - 14, STO, 2018
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End-to-end text-dependent speaker verification using novel distance measures, Subhadeep Dey, Srikanth Madikeri and Petr Motlicek, in: Proceedings of Interspeech 2018, Hyderabad, INDIA, Aug 02-Sep 06, 2018, pages 3598-3602, 2018
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