Technical Program

MLSP-P1: Applications in Audio and Speech Processing

Session Type: Poster
Time: Tuesday, March 27, 16:30 - 18:30
Location: Poster Area B
Session Chairs: Atsushi Nakamura, NTT Communication Science Laboratories and Gautham J. Mysore, Advanced Technology Labs, Adobe Systems
 
MLSP-P1.1: AUDIO EVENT DETECTION BASED ON LAYERED SYMBOLIC SEQUENCE REPRESENTATIONS
         Michele Lai Chin; Audionamix
         Juan José Burred; Audionamix
 
MLSP-P1.2: LEARNING IMPROVED LINEAR TRANSFORMS FOR SPEECH RECOGNITION
         Andrew Senior; Google, Inc.
         Youngmin Cho; University of California at San Diego
         Jason Weston; Google, Inc.
 
MLSP-P1.3: ONLINE DISCRIMINATIVE LEARNING OF PHONEME RECOGNITION VIA COLLECTIONS OF GENERALIZED LINEAR MODELS
         Koby Crammer; Technion
         Daniel Lee; University of Pennsylvania
 
MLSP-P1.4: WEAKLY SUPERVISED NEURAL NETWORKS FOR PART-OF-SPEECH TAGGING
         Sumit Chopra; AT&T Labs Research
         Srinivas Bangalore; AT&T Labs Research
 
MLSP-P1.5: CLUSTER AWARE NORMALIZATION FOR ENHANCING AUDIO SIMILARITY
         Mathieu Lagrange; IRCAM CNRS
         Luis Gustavo Martins; Portuguese Catholic University - School of Arts/CITAR
         George Tzanetakis; University of Victoria
 
MLSP-P1.6: NOISE-ROBUST DYNAMIC TIME WARPING USING PLCA FEATURES
         Brian King; University of Washington / Adobe Systems Inc.
         Paris Smaragdis; University of Illinois at Urbana-Champaign / Adobe Systems Inc.
         Gautham J. Mysore; Adobe Systems Inc.
 
MLSP-P1.7: A PREDICTIVE MODEL OF MUSIC PREFERENCE USING PAIRWISE COMPARISONS
         Bjørn Sand Jensen; Technical University of Denmark
         Javier Saez Gallego; Technical University of Denmark
         Jan Larsen; Technical University of Denmark
 
MLSP-P1.8: A FRAMEWORK FOR UNSUPERVISED TRANSFER LEARNING AND APPLICATION TO DIALOG DECISION CLASSIFICATION
         Etienne Marcheret; IBM
         Om D Deshmukh; IBM
         Vaibhava Goel; IBM
         Jiri Navratil; IBM
 
MLSP-P1.9: LOW-POWER SVM CLASSIFIERS FOR SOUND EVENT CLASSIFICATION ON MOBILE DEVICES
         Man-Wai Mak; The Hong Kong Polytechnic University
         Sun-Yuan Kung; Princeton University
 
MLSP-P1.10: KERNEL MULTI-METRIC LEARNING FOR MULTI-CHANNEL TRANSIENT ACOUSTIC SIGNAL CLASSIFICATION
         Haichao Zhang; Northwestern Polytechnical University
         Yanning Zhang; Northwestern Polytechnical University
         Nasser M. Nasrabadi; U.S. Army Research Laboratory
         Thomas Huang; University of Illinois at Urbana-Champaign
 
MLSP-P1.11: FBEM: A FILTER BANK EM ALGORITHM FOR THE JOINT OPTIMIZATION OF FEATURES AND ACOUSTIC MODEL PARAMETERS IN BIRD CALL CLASSIFICATION
         Wei Chu; University of California at Los Angeles
         Abeer Alwan; University of California at Los Angeles
 
MLSP-P1.12: A MUSIC RETRIEVAL SYSTEM USING CHROMA AND PITCH FEATURES BASED ON CONDITIONAL RANDOM FIELDS
         Kouhei Sumi; Yamaha Corporation
         Miki Arai; Yamaha Corporation
         Takuya Fujishima; Yamaha Corporation
         Seiichi Hashimoto; Yamaha Corporation