SLP-L6: Advances in LVCSR Algorithms |
| Session Type: Lecture |
| Time: Wednesday, May 17, 16:30 - 18:30 |
| Location: Auditorium St Exupery |
| Chair: Geoffrey Zweig, IBM T. J. Watson Research Center |
| SLP-L6.1: MODELING POLYPHONE CONTEXT WITH WEIGHTED FINITE-STATE TRANSDUCERS |
| Emilian Stoimenov, John McDonough, Institut fuer Theoretische Informatik, Germany |
| SLP-L6.2: JOINT UNCERTAINTY DECODING (JUD) WITH HISTOGRAM-BASED QUANTIZATION (HQ) FOR ROBUST AND/OR DISTRIBUTED SPEECH RECOGNITION |
| Chia-yu Wan, Lin-shan Lee, National Taiwan University, Taiwan |
| SLP-L6.3: AUGMENTED STATISTICAL MODELS FOR SPEECH RECOGNITION |
| Martin Layton, Mark J. F. Gales, University of Cambridge, United Kingdom |
| SLP-L6.4: TONE-ENHANCED GENERALIZED CHARACTER POSTERIOR PROBABILITY(GCPP) FOR CANTONESE LVCSR |
| Yao Qian, Frank K. Soong, Microsoft Research Asia, China; Tan Lee, Chinese University of Hong Kong, China |
| SLP-L6.5: ACOUSTIC MODEL ADAPTATION BASED ON PRONUNCIATION VARIABILITY ANALYSIS FOR NON-NATIVE SPEECH RECOGNITION |
| Yoo Rhee Oh, Jae Sam Yoon, Hong Kook Kim, Gwangju Institute of Science and Technology, Republic of Korea |
| SLP-L6.6: A COMPARATIVE STUDY OF DISCRIMINATIVE METHODS FOR RERANKING LVCSR N-BEST HYPOTHESES IN DOMAIN ADAPTATION AND GENERALIZATION |
| Zhengyu Zhou, Chinese University of Hong Kong, Hong Kong SAR of China; Jianfeng Gao, Microsoft Corporation, United States; Frank K. Soong, Microsoft Research Asia, China; Helen Meng, Chinese University of Hong Kong, Hong Kong SAR of China |
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