Technical Program

SP-L6: Robust ASR I

Session Type: Lecture
Time: Thursday, March 29, 14:00 - 16:00
Location: Room B-1
Session Chairs: Horacio Franco, SRI and John H. L. Hansen, University of Texas at Dallas
 
SP-L6.1: POWER-NORMALIZED CEPSTRAL COEFFICIENTS (PNCC) FOR ROBUST SPEECH RECOGNITION
         Chanwoo Kim; Microsoft Corporation
         Richard Stern; Carnegie Mellon University
 
SP-L6.2: A NOVEL APPROACH TO SOFT-MASK ESTIMATION AND LOG-SPECTRAL ENHANCEMENT FOR ROBUST SPEECH RECOGNITION
         Julien Van Hout; University of California at Los Angeles
         Abeer Alwan; University of California at Los Angeles
 
SP-L6.3: MFCC ENHANCEMENT USING JOINT CORRUPTED AND NOISE FEATURE SPACE FOR HIGHLY NON-STATIONARY NOISE ENVIRONMENTS
         Masayuki Suzuki; The University of Tokyo
         Takuya Yoshioka; NTT Communication Science Laboratories
         Shinji Watanabe; NTT Communication Science Laboratories
         Nobuaki Minematsu; The University of Tokyo
         Keikichi Hirose; The University of Tokyo
 
SP-L6.4: MODELLING SPECTRO-TEMPORAL DYNAMICS IN FACTORISATION-BASED NOISE-ROBUST AUTOMATIC SPEECH RECOGNITION
         Antti Hurmalainen; Tampere University of Technology
         Tuomas Virtanen; Tampere University of Technology
 
SP-L6.5: NORMALIZED AMPLITUDE MODULATION FEATURES FOR LARGE VOCABULARY NOISE-ROBUST SPEECH RECOGNITION
         Vikramjit Mitra; SRI International
         Horacio Franco; SRI International
         Martin Graciarena; SRI International
         Arindam Mandal; SRI International
 
SP-L6.6: FEATURE COMPENSATION EMPLOYING ONLINE GMM ADAPTATION FOR SPEECH RECOGNITION IN UNKNOWN SEVERELY ADVERSE ENVIRONMENTS
         Wooil Kim; The University of Texas at Dallas
         John H. L. Hansen; The University of Texas at Dallas