SP-P15: Robustness in Noisy Environments

Session Type: Poster
Time: Friday, May 21, 15:30 - 17:30
Location: Poster Area 3
Chair: Rich Stern, Carnegie Mellon University
 
SP-P15.1: ROBUST SPEECH RECOGNITION IN ADDITIVE AND CHANNEL NOISE ENVIRONMENTS USING GMM AND EM ALGORITHM
         Masakiyo Fujimoto; Ryukoku University
         Yasuo Ariki; Kobe University
 
SP-P15.2: ASSESSMENT OF SIGNAL SUBSPACE BASED SPEECH ENHANCEMENT FOR NOISE ROBUST SPEECH RECOGNITION
         Kris Hermus; Katholieke Universiteit Leuven
         Patrick Wambacq; Katholieke Universiteit Leuven
 
SP-P15.3: JOINT REMOVAL OF ADDITIVE AND CONVOLUTIONAL NOISE WITH MODEL-BASED FEATURE ENHANCEMENT
         Veronique Stouten; Katholieke Universiteit Leuven
         Hugo Van hamme; Katholieke Universiteit Leuven
         Patrick Wambacq; Katholieke Universiteit Leuven
 
SP-P15.4: NOISE ROBUST SPEECH RECOGNITION WITH A SWITCHING LINEAR DYNAMIC MODEL
         Jasha Droppo; Microsoft Research
         Alex Acero; Microsoft Research
 
SP-P15.5: A MODIFIED EPHRAIM-MALAH NOISE SUPPRESSION RULE FOR AUTOMATIC SPEECH RECOGNITION
         Roberto Gemello; Loquendo
         Franco Mana; Loquendo
         Renato De Mori; University of Avignon
 
SP-P15.6: UNIVERSAL COMPENSATION - AN APPROACH TO NOISY SPEECH RECOGNITION ASSUMING NO KNOWLEDGE OF NOISE
         Ji Ming; Queen's University Belfast
 
SP-P15.7: ON TRACKING NOISE WITH LINEAR DYNAMICAL SYSTEM MODELS
         Bhiksha Raj; Mitsubishi Electric Research Labs
         Rita Singh; Carnegie Mellon University
         Richard Stern; Carnegie Mellon University
 
SP-P15.8: COMBINING FEATURE COMPENSATION AND WEIGHTED VITERBI DECODING FOR NOISE ROBUST SPEECH RECOGNITION WITH LIMITED ADAPTATION DATA
         Xiaodong Cui; University of California, Los Angeles
         Abeer Alwan; University of California, Los Angeles
 
SP-P15.9: SNR-DEPENDENT NON-UNIFORM SPECTRAL COMPRESSION FOR NOISY SPEECH RECOGNITION
         Kam-keung Chu; City University of Hong Kong
         Shu Hung Leung; City University of Hong Kong
 
SP-P15.10: MINIMUM MEAN SQUARE ERROR FILTERING OF NOISY CEPSTRAL COEFFICIENTS WITH APPLICATIONS TO ASR
         Tor AndrĂ© Myrvoll; Norges Teknisk Naturvitenskaplige Universitet
         Satoshi Nakamura; ATR, Spoken Language Translation Laboratories
 
SP-P15.11: A TREE-STRUCTURED CLUSTERING METHOD INTEGRATING NOISE AND SNR FOR PIECEWISE LINEAR-TRANSFORMATION-BASED NOISE ADAPTATION
         Zhipeng Zhang; NTT DoCoMo
         Toshiaki Sugimura; NTT DoCoMo
         Sadaoki Furui; Tokyo Institute of Technology
 
SP-P15.12: NONLINEAR NOISE COMPENSATION IN FEATURE DOMAIN FOR SPEECH RECOGNITION WITH NUMERICAL METHODS
         Hui Jiang; York University
         Qi Wang; York University
 
SP-P15.13: PCMM-BASED FEATURE COMPENSATION SCHEMES USING MODEL INTERPOLATION AND MIXTURE SHARING
         Wooil Kim; Korea University
         Ohil Kwon; Hyundai Autonet Co. Ldt.
         Hanseok Ko; Korea University
 
ICASSP 2003 Paper
SP-P15.14: A METHOD BASED ON THE MTF CONCEPT FOR DEREVERBERATING THE POWER ENVELOPE FROM THE REVERBERANT SIGNAL
         Masashi Unoki; Japan Advanced Institute of Science and Technology
         Masakazu Furukawa; Japan Advanced Institute of Science and Technology
         Keigo Sakata; Japan Advanced Institute of Science and Technology
         Masato Akagi; Japan Advanced Institute of Science and Technology
 
ICASSP 2003 Paper
SP-P15.15: AUTOMATIC SET-UP FOR SPEECH RECOGNITION ENGINES BASED ON MERIT OPTIMIZATION
         Gustavo Hernandez-Abrego; Sony Electronics, Inc.
         Xavier Menendez-Pidal; Sony Electronics, Inc.
         Thomas Kemp; Sony International Europe
         Katsuki Minamino; Sony Corporation
         Helmut Lucke; Sony Corporation
 

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