Technical Program
SP-P7: Multilingual Recognition and Identification |
Session Type: Poster |
Time: Wednesday, May 29, 08:00 - 10:00 |
Location: Poster Area D |
Session Chair: Dong Yu, Microsoft |
SP-P7.1: CROSS-LANGUAGE KNOWLEDGE TRANSFER USING MULTILINGUAL DEEP NEURAL NETWORK WITH SHARED HIDDEN LAYERS |
Jui-Ting Huang; Microsoft Corporation |
Jinyu Li; Microsoft Corporation |
Dong Yu; Microsoft Research |
Li Deng; Microsoft Research |
Yifan Gong; Microsoft Corporation |
SP-P7.2: RAPID DEVELOPMENT OF A LATVIAN SPEECH-TO-TEXT SYSTEM |
Ilya Oparin; LNE |
Lori Lamel; LIMSI CNRS |
Jean-Luc Gauvain; LIMSI CNRS |
SP-P7.3: LANGUAGE DIARIZATION FOR CODE-SWITCH CONVERSATIONAL SPEECH |
Dau-Cheng Lyu; Nanyang Technological University |
Eng-Siong Chng; Nanyang Technological University |
Haizhou Li; Nanyang Technological University |
SP-P7.4: MULTILINGUAL TRAINING OF DEEP NEURAL NETWORKS |
Arnab Ghoshal; University of Edinburgh |
Pawel Swietojanski; University of Edinburgh |
Steve Renals; University of Edinburgh |
SP-P7.5: MANUAL AND SEMI-AUTOMATIC APPROACHES TO BUILDING A MULTILINGUAL PHONEME SET |
Ekaterina Egorova; Brno University of Technology |
Karel Vesely; Brno University of Technology |
Martin Karafiat; Brno University of Technology |
Milos Janda; Brno University of Technology |
Jan Cernocky; Brno University of Technology |
SP-P7.6: RAPID BOOTSTRAPPING OF A UKRAINIAN LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION SYSTEM |
Tim Schlippe; Karlsruhe Institute of Technology (KIT) |
Mykola Volovyk; Karlsruhe Institute of Technology (KIT) |
Kateryna Yurchenko; Karlsruhe Institute of Technology (KIT) |
Tanja Schultz; Karlsruhe Institute of Technology (KIT) |
SP-P7.7: GRAPHEME AND MULTILINGUAL POSTERIOR FEATURES FOR UNDER-RESOURCED SPEECH RECOGNITION: A STUDY ON SCOTTISH GAELIC |
Ramya Rasipuram; Idiap Research Institute, École polytechnique fédérale de Lausanne |
Peter Bell; Centre for Speech Technology Research, University of Edinburgh |
Mathew Magimai Doss; Idiap Research Institute |
SP-P7.8: SUBSPACE MIXTURE MODEL FOR LOW-RESOURCE SPEECH RECOGNITION IN CROSS-LINGUAL SETTINGS |
Yajie Miao; Carnegie Mellon University |
Florian Metze; Carnegie Mellon University |
Alex Waibel; Carnegie Mellon University |
SP-P7.9: ACCENT RECOGNITION USING I-VECTOR, GAUSSIAN MEAN SUPERVECTOR AND GAUSSIAN POSTERIOR PROBABILITY SUPERVECTOR FOR SPONTANEOUS TELEPHONE SPEECH |
Mohamad Hasan Bahari; Katholieke Universiteit Leuven |
Rahim Saeidi; Radboud University Nijmegen |
Hugo Van hamme; Katholieke Universiteit Leuven |
David Van Leeuwen; Radboud University Nijmegen |
SP-P7.10: INVESTIGATION ON CROSS- AND MULTILINGUAL MLP FEATURES UNDER MATCHED AND MISMATCHED ACOUSTICAL CONDITIONS |
Zoltán Tüske; RWTH Aachen University |
Joel Pinto; Nuance Communications Deutschland GmbH |
Daniel Willett; Nuance Communications Deutschland GmbH |
Ralf Schlüter; RWTH Aachen University |
SP-P7.11: EXEMPLAR BASED LANGUAGE RECOGNITION METHOD FOR SHORT-DURATION SPEECH SEGMENTS |
Meng-Ge Wang; University of Science and Technology of China |
Yan Song; University of Science and Technology of China |
Bing Jiang; University of Science and Technology of China |
Li-Rong Dai; University of Science and Technology of China |
Ian McLoulghlin; University of Science and Technology of China |
SP-P7.12: AUTOMATIC LOCALIZATION OF A LANGUAGE-INDEPENDENT SUB-NETWORK ON DEEP NEURAL NETWORKS TRAINED BY MULTI-LINGUAL SPEECH |
Shigeki Matsuda; National Institute of Information and Communications Technology |
Xugang Lu; National Institute of Information and Communications Technology |
Hideki Kashioka; National Institute of Information and Communications Technology |
SP-P7.13: SUPERVECTOR PRE-PROCESSING FOR PRSVM-BASED CHINESE AND ARABIC DIALECT IDENTIFICATION |
Qian Zhang; The University of Texas at Dallas |
Hynek Boril; The University of Texas at Dallas |
John H.L. Hansen; The University of Texas at Dallas |
SP-P7.14: IMPROVED MIXED LANGUAGE SPEECH RECOGNITION USING ASYMMETRIC ACOUSTIC MODEL AND LANGUAGE MODEL WITH CODE-SWITCH INVERSION CONSTRAINTS |
Ying Li; The Hong Kong University of Science and Technology |
Pascale Fung; The Hong Kong University of Science and Technology |