Technical Program

AASP-P9: Music, Speech and Animals

Session Type: Poster
Time: Friday, May 31, 10:30 - 12:30
Location: Poster Area G
Session Chair: Abeer Alwan, UCLA
 
AASP-P9.1: EFFICIENT DATABASE PRUNING FOR LARGE-SCALE COVER SONG RECOGNITION
         Julien Osmalskyj; University of Liège
         Sébastien Piérard; University of Liège
         Marc Van Droogenbroeck; University of Liège
         Jean-Jacques Embrechts; University of Liège
 
AASP-P9.2: MODELLING DRUM PATTERNS WITH WEIGHTED FINITE-STATE TRANSDUCERS
         Stephan Hübler; Technische Universität Dresden
         Rüdiger Hoffmann; Technische Universität Dresden
 
AASP-P9.3: PERCEPTUAL HEADPHONE EQUALIZATION FOR MITIGATION OF AMBIENT NOISE
         Jussi Ramo; Aalto University School of Electrical Engineering
         Vesa Valimaki; Aalto University School of Electrical Engineering
         Miikka Tikander; Nokia
 
AASP-P9.4: AN IMPROVED VIRTUAL ANALOG MODEL OF THE MOOG LADDER FILTER
         Stefano D'Angelo; Aalto University School of Electrical Engineering
         Vesa Välimäki; Aalto University School of Electrical Engineering
 
AASP-P9.5: SINGING VOICE TIMBRE CLASSIFICATION OF CHINESE POPULAR MUSIC
         Cheng-Ya Sha; National Taiwan University
         Yi-Hsuan Yang; Academia Sinica
         Yu-Ching Lin; KKBOX
         Homer H. Chen; National Taiwan University
 
AASP-P9.6: IDENTIFICATION OF COVER SONGS USING INFORMATION THEORETIC MEASURES OF SIMILARITY
         Peter Foster; Queen Mary University of London
         Simon Dixon; Queen Mary University of London
         Anssi Klapuri; Ovelin
 
AASP-P9.7: FUNDAMENTAL FREQUENCY ALIGNMENT VS. NOTE-BASED MELODIC SIMILARITY FOR SINGING VOICE ASSESSMENT
         Emilio Molina; Universidad de Málaga
         Isabel Barbancho; Universidad de Málaga
         Emilia Gómez; Universitat Pompeu Fabra
         Ana María Barbancho; Universidad de Málaga
         Lorenzo J. Tardón; Universidad de Málaga
 
AASP-P9.8: EVALUATING AUTOMATICALLY ESTIMATED CHORD SEQUENCES
         Johan Pauwels; STMS IRCAM-CNRS-UPMC
         Geoffroy Peeters; STMS IRCAM-CNRS-UPMC
 
AASP-P9.9: SINGLE HYDROPHONE PASSIVE ACOUSTIC SPERM WHALE RANGE AND DEPTH ESTIMATION
         Hannan Lohrasbipeydeh; University of Victoria
         Saeed Mosayyebpour; University of Victoria
         T. Aaron Gulliver; University of Victoria
 
AASP-P9.10: METHODS FOR CLASSIFICATION OF NOCTURNAL MIGRATORY BIRD VOCALIZATIONS USING PSEUDO WIGNER-VILLE TRANSFORM
         Anand Patti; Illinois Institute of Technology
         Geoffrey Williamson; Illinois Institute of Technology
 
AASP-P9.11: A SPARSE REPRESENTATION-BASED CLASSIFIER FOR IN-SET BIRD PHRASE VERIFICATION AND CLASSIFICATION WITH LIMITED TRAINING DATA
         Lee Ngee Tan; University of California, Los Angeles
         George Kossan; University of California, Los Angeles
         Martin Cody; University of California, Los Angeles
         Charles Taylor; University of California, Los Angeles
         Abeer Alwan; University of California, Los Angeles
 
AASP-P9.12: A ROBUST AUTOMATIC BIRD PHRASE CLASSIFIER USING DYNAMIC TIME-WARPING WITH PROMINENT REGION IDENTIFICATION
         Kantapon Kaewtip; University of California, Los Angeles
         Lee Ngee Tan; University of California, Los Angeles
         Abeer Alwan; University of California, Los Angeles
         Charles Taylor; University of California, Los Angeles
 
AASP-P9.13: BIRD PHRASE SEGMENTATION BY ENTROPY-DRIVEN CHANGE POINT DETECTION
         Ni-Chun Wang; University of California, Los Angeles
         Ralph Hudson; University of California, Los Angeles
         Lee Ngee Tan; University of California, Los Angeles
         Charles Taylor; University of California, Los Angeles
         Abeer Alwan; University of California, Los Angeles
         Kung Yao; University of California, Los Angeles