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

Keywords:


Publications of Petr Motlicek sorted by first author
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A

Entity Matching Across Small Networks Using Node Attributes, Zahra Ahmadi, Zijian Zhang, Hoang H. Nguyen, Sergio Burdisso, Srikanth Madikeri, Petr Motlicek, Erinc Dikici, Gerhard Backfried, Marek Kovac and Daniel Kudenko, in: ECAI 2024 - 27th European Conference on Artificial Intelligence, October 19-24, 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Proceedings, 2024
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B

An End-to-End Multilingual System for Automatic Minuting of Multi-Party Dialogues, Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh and Petr Motlicek, in: Pacific Asia Conference on Language, Information and Computation (PACLIC 36) , In proceedings of ACL Anthology, 2022
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CONTEXTUAL BIASING METHODS FOR IMPROVING RARE WORD DETECTION IN AUTOMATIC SPEECH RECOGNITION, Mrinmoy Bhattacharjee, Nigmatulina Iuliia, Amrutha Prasad, Pradeep Rangappa, Srikanth Madikeri, Petr Motlicek, Hartmut Helmke and Matthias Kleinert, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Korea, 2024
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HMIST: Hierarchical Multilingual Isometric Speech Translation using Multi-Task Learning Framework for Automatic Dubbing, Nidhir Bhavsar, Aakash Bhatnagar, Muskaan Singh and Petr Motlicek, in: PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION (PACLIC 2022), In Proceedings of ACL Anthology, 2022
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A COMPARISON OF METHODS FOR OOV-WORD RECOGNITION ON A NEW PUBLIC DATASET, Rudolf Braun, Srikanth Madikeri and Petr Motlicek, in: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, Toronto, Ontario, Canada, 2021
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Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction, Sergio Burdisso, Srikanth Madikeri and Petr Motlicek, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Miami, Florida, USA, pages 5421–5440, Association for Computational Linguistics, 2024
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DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews, Sergio Burdisso, Ernesto A. Reyes-Ramírez, Esaú Villatoro-Tello, Fernando Sánchez-Vega, A. Pastor López-Monroy and Petr Motlicek, in: Proceedings of the 6th Clinical Natural Language Processing Workshop, Mexico City, Mexico, pages 82–90, Association for Computational Linguistics, 2024
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Reliability Estimation of News Media Sources: Birds of a Feather Flock Together, Sergio Burdisso, Dairazalia Sanchez-Cortes, Esaú Villatoro-Tello and Petr Motlicek, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, pages 6900–6918, Association for Computational Linguistics, 2024
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IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach, Sergio Burdisso, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Martin Fajcik, Muskaan Singh, Pavel Smrz and Petr Motlicek, in: The 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE @ EMNLP 2022), 2022
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C

The MuMMER data set for Robot Perception in multi-party HRI Scenarios, Olivier Canévet, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: Proceedings of the 29th IEEE International Conference on Robot & Human Interactive Communication, 2020
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Incremental Syllable-Context Phonetic Vocoding, Milos Cernak, Philip N. Garner, Alexandros Lazaridis, Petr Motlicek and Xingyu Na, in: IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 23(6), 2015
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On the (Un)importance of the Contextual Factors In HMM-Based Speech Synthesis, Milos Cernak, Petr Motlicek and Philip N. Garner, in: Proceedings of the IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, pages 8140 - 8143, 2013
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D

DNN based speaker embedding using content information for text-dependent speaker verification, Subhadeep Dey, Takafumi Koshinaka, Petr Motlicek and Srikanth Madikeri, in: Proceedings of 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018
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DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION, Subhadeep Dey, Srikanth Madikeri, Marc Ferras and Petr Motlicek, in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5050-5054, IEEE, 2016
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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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INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION, Subhadeep Dey, Srikanth Madikeri and Petr Motlicek, in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5580-5584, IEEE, 2016
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