SP-P10: Discriminative Training/Search |
Session Type: Poster |
Time: Thursday, March 18, 13:30 - 15:30 |
Location: Poster Area A |
Session Chair: Hong-Kwang Jeff Kuo, IBM T. J. Watson Research Center, USA |
SP-P10.1: DISCRIMINATIVE TRAINING BASED ON AN INTEGRATED VIEW OF MPE AND MMI IN MARGIN AND ERROR SPACE |
Erik McDermott; NTT Corporation |
Shinji Watanabe; NTT Corporation |
Atsushi Nakamura; NTT Corporation |
SP-P10.2: THE EFFECT OF LATTICE PRUNING ON MMIE TRAINING |
Long Qin; Carnegie Mellon University |
Alexander Rudnicky; Carnegie Mellon University |
SP-P10.3: PARALLEL IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK TRAINING |
Stefano Scanzio; Politecnico di Torino |
Sandro Cumani; Politecnico di Torino |
Roberto Gemello; Politecnico di Torino |
Franco Mana; Politecnico di Torino |
Pietro Laface; Politecnico di Torino |
SP-P10.4: I-SMOOTH FOR IMPROVED MINIMUM CLASSIFICATION ERROR TRAINING |
Haozheng Li; National Research Council of Canada |
Cosmin Munteanu; National Research Council of Canada |
SP-P10.5: LEARNING TASK-DEPENDENT SPEECH VARIABILITY IN DISCRIMINATIVE ACOUSTIC MODEL ADAPTATION |
Shoei Sato; NHK (Japan Broadcasting Corporation) |
Takahiro Oku; NHK (Japan Broadcasting Corporation) |
Shinichi Homma; NHK (Japan Broadcasting Corporation) |
Akio Kobayashi; NHK (Japan Broadcasting Corporation) |
Toru Imai; NHK (Japan Broadcasting Corporation) |
SP-P10.6: A BOUNDED TRUST REGION OPTIMIZATION FOR DISCRIMINATIVE TRAINING OF HMMS IN SPEECH RECOGNITION |
Cong Liu; University of Science and Technology of China |
Yu Hu; University of Science and Technology of China |
Hui Jiang; York University |
Li-Rong Dai; University of Science and Technology of China |
SP-P10.7: PHONE MODELING AND COMBINING DISCRIMINATIVE TRAINING FOR MANDARIN-ENGLISH BILINGUAL SPEECH RECOGNITION |
Yanmin Qian; Tsinghua University |
Jia Liu; Tsinghua University |
SP-P10.8: A DISCRIMINATIVE MODEL FOR CONTINUOUS SPEECH RECOGNITION BASED ON WEIGHTED FINITE STATE TRANSDUCERS |
Shinji Watanabe; NTT Communication Science Laboratories, NTT Corporation |
Takaaki Hori; NTT Communication Science Laboratories, NTT Corporation |
Erik McDermott; NTT Communication Science Laboratories, NTT Corporation |
Atsushi Nakamura; NTT Communication Science Laboratories, NTT Corporation |
SP-P10.9: AN INITIAL ATTEMPT FOR PHONEME RECOGNITION USING STRUCTURED SUPPORT VECTOR MACHINE (SVM) |
Hao Tang; National Taiwan University |
Chao-Hong Meng; National Taiwan University |
Lin-Shan Lee; National Taiwan University |
SP-P10.10: AN EFFICIENT BEAM PRUNING WITH A REWARD CONSIDERING THE POTENTIAL TO REACH VARIOUS WORDS ON A LEXICAL TREE |
Tsuneo Kato; KDDI R&D Laboratories Inc. |
Kengo Fujita; KDDI R&D Laboratories Inc. |
Nobuyuki Nishizawa; KDDI R&D Laboratories Inc. |
SP-P10.11: SEARCH ERROR RISK MINIMIZATION IN VITERBI BEAM SEARCH FOR SPEECH RECOGNITION |
Takaaki Hori; NTT Corporation |
Shinji Watanabe; NTT Corporation |
Atsushi Nakamura; NTT Corporation |
SP-P10.12: AN IMPROVED CONSENSUS-LIKE METHOD FOR MINIMUM BAYES RISK DECODING AND LATTICE COMBINATION |
Haihua Xu; Shanghai Jiao Tong University |
Daniel Povey; Microsoft |
Lidia Mangu; IBM |
Jie Zhu; Shanghai Jiao Tong University |