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SP-P3: Features for Robust Automatic Speech Recognition

Session Type: Poster

Time: Tuesday, May 28, 15:30 - 17:30

Location: Poster Area C

Session Chair: Qi Li, Creative Technologies Inc.

SP-P3.1: COMBINING WINDOW PREDICTIONS EFFICIENTLY - A NEW IMPUTATION APPROACH FOR NOISE ROBUST AUTOMATIC SPEECH RECOGNITION

Qun Feng Tan; University of Southern California

Shrikanth Narayanan; University of Southern California

SP-P3.2: NOISE MODEL TRANSFER USING AFFINE TRANSFORMATION WITH APPLICATION TO LARGE VOCABULARY REVERBERANT SPEECH RECOGNITION

Takuya Yoshioka; Nippon Telegraph and Telephone Corporation

Tomohiro Nakatani; Nippon Telegraph and Telephone Corporation

SP-P3.3: SPECTRO-TEMPORAL FEATURES FOR NOISE-ROBUST SPEECH RECOGNITION USING POWER-LAW NONLINEARITY AND POWER-BIAS SUBTRACTION

Shuo-Yiin Chang; University of California, Berkeley

Bernd T. Meyer; University of Oldenburg

Nelson Morgan; International Computer Science Institute

SP-P3.4: RECOGNITION OF OVERLAPPING SPEECH USING DIGITAL MEMS MICROPHONE ARRAYS

Erich Zwyssig; EADS

Friedrich Faubel; Saarland University

Steve Renals; The University of Edinburgh

Mike Lincoln; Quorate Technology Ltd.

SP-P3.5: STEREO-BASED FEATURE ENHANCEMENT USING DICTIONARY LEARNING

Shinji Watanabe; Mitsubishi Electric Research Laboratories (MERL)

John R. Hershey; Mitsubishi Electric Research Laboratories (MERL)

SP-P3.6: A VTS-BASED FEATURE COMPENSATION APPROACH TO NOISY SPEECH RECOGNITION USING MIXTURE MODELS OF DISTORTION

Jun Du; University of Science and Technology of China

Qiang Huo; Microsoft Research Asia

SP-P3.7: AN ADVANCED FEATURE COMPENSATION METHOD EMPLOYING ACOUSTIC MODEL WITH PHONETICALLY CONSTRAINED STRUCTURE

Wooil Kim; Incheon National University

John H.L. Hansen; The University of Texas at Dallas

SP-P3.8: NOISE AWARE MANIFOLD LEARNING FOR ROBUST SPEECH RECOGNITION

Vikrant Tomar; McGill University

Richard Rose; McGill University

SP-P3.9: IDEAL RATIO MASK ESTIMATION USING DEEP NEURAL NETWORKS FOR ROBUST SPEECH RECOGNITION

Arun Narayanan; The Ohio State University

DeLiang Wang; The Ohio State University

SP-P3.10: A ROBUST FRONTEND FOR ASR: COMBINING DENOISING, NOISE MASKING AND FEATURE NORMALIZATION

Maarten Van Segbroeck; University of Southern California

Shrikanth Narayanan; University of Southern California

SP-P3.11: FILTER-BANK OPTIMIZATION FOR FREQUENCY DOMAIN LINEAR PREDICTION

Vijayaditya Peddinti; Johns Hopkins University

Hynek Hermansky; Johns Hopkins University

SP-P3.12: AN MCMC APPROACH TO JOINT ESTIMATION OF CLEAN SPEECH AND NOISE FOR ROBUST SPEECH RECOGNITION

Aleem Mushtaq; Georgia Institute of Technology

Chin-Hui Lee; Georgia Institute of Technology

SP-P3.13: FILTERING ON THE TEMPORAL PROBABILITY SEQUENCE IN HISTOGRAM EQUALIZATION FOR ROBUST SPEECH RECOGNITION

Syu-Siang Wang; Academia Sinica

Yu Tsao; Academia Sinica

Jeih-weih Hung; National Chi Nan University

SP-P3.14: JOINT SPARSE REPRESENTATION BASED CEPSTRAL-DOMAIN DEREVERBERATION FOR DISTANT-TALKING SPEECH RECOGNITION

Weifeng Li; Tsinghua University

Longbiao Wang; Nagaoka University

Fei Zhou; Tsinghua University

Qingmin Liao; Tsinghua University