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

Keywords:


Publications of Petr Motlicek sorted by title
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MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction, Sriram Ganapathy, Petr Motlicek and Hynek Hermansky, in: Audio Engineering Society (AES,',','), 127th Convention, Audio Engineering Society (AES), Audio Engineering Society, 60 East 42nd Street, New York, New York 10165-2520, USA;, 2009
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Multilingual Deep Neural Network based Acoustic Modeling For Rapid Language Adaptation, Ngoc Thang Vu, David Imseng, Daniel Povey, Petr Motlicek, Tanja Schultz and Hervé Bourlard, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, pages 7639-7643, IEEE, 2014
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Multimodal Cue Detection Engine for Orchestrated Entertainment, Danil Korchagin, Stefan Duffner, Petr Motlicek and Carl Scheffler, in: Proceedings International Conference on MultiMedia Modeling, Klagenfurt, Austria, 2012
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Multimodal Neural Machine Translation System for English to Bengali, Shantipriya Parida, Subhadarshi Panda, Satya Prakash Biswal, Ketan Kotwal, Arghyadeep Sen, Satya Ranjan Dash and Petr Motlicek, in: Proceedings of the First Workshop on Multimodal Machine Translation for Low Resource Languages (MMTLRL 2021), Online (Virtual Mode), pages 31--39, INCOMA Ltd., 2021
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MULTISTREAM SPEAKER DIARIZATION THROUGH INFORMATION BOTTLENECK SYSTEM OUTPUTS COMBINATION, Deepu Vijayasenan, Fabio Valente and Petr Motlicek, in: Proceedings of International Conference on Acoustics, Speech and Signal Processing, 2011
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Multitask Speech Recognition and Speaker Change Detection for Unknown Number of Speakers, Shashi Kumar, Srikanth Madikeri, Nigmatulina Iuliia, Esaú Villatoro-Tello, Petr Motlicek, Karthik Pandia D S, S. Pavankumar Dubagunta and Aravind Ganapathiraju, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Republic of Korea, pages 12592-12596, IEEE, 2024
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Neural Network Adaptation and Data Augmentation for Multi-Speaker Direction-of-Arrival Estimation, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29:1303-1317, 2021
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NLPHut's Participation at WAT2021, Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlicek and Ondrej Bojar, in: Proceedings of the 8th Workshop on Asian Translation (WAT2021), pages 146--154, Association for Computational Linguistics, 2021
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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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Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution), Shantipriya Parida, Subhadarshi Panda, Amulya Ratna Dash, Esaú Villatoro-Tello, A. Seza Dogruöz, Rosa M. Ortega-Mendoza, Amadeo Hernández, Yashvardhan Sharma and Petr Motlicek, in: Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas, pages 218–223, Association for Computational Linguistics, 2021
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Open-Set Speaker Identification pipeline in live criminal investigations, Mael Fabien and Petr Motlicek, in: 1st ISCA Symposium on Security and Privacy in Speech Communication, 2021
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Perceptually motivated Sub-band Decomposition for FDLP Audio Coding, Petr Motlicek, Sriram Ganapathy, Hynek Hermansky, Harinath Garudadri and Marios Athineos, in: Text, Speech and Dialogue, Brno, Czech Republic, Springer-Verlag Berlin, Heidelberg, 2008
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Probability-Aware Word-Confusion-Network-to-Text Alignment Approach for Intent Classification, Esaú Villatoro-Tello, Srikanth Madikeri, Bidisha Sharma, Driss Khalil, Shashi Kumar, Nigmatulina Iuliia, Petr Motlicek and Aravind Ganapathiraju, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Republic of Korea, pages 12617-12621, IEEE, 2024
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