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My ICASSP 2017 Schedule

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AASP-P12: Sound Event and Environment Classification

Session Type: Poster
Time: Thursday, March 9, 16:00 - 18:00
Location: Churchill: Poster Area H
Session Chair: Jort Gemmeke,
 
  AASP-P12.1: ACTIVE LEARNING FOR SOUND EVENT CLASSIFICATION BY CLUSTERING UNLABELED DATA
         Shuyang Zhao; Tampere University of Technology
         Toni Heittola; Tampere University of Technology
         Tuomas Virtanen; Tampere University of Technology
 
  AASP-P12.2: DISCRIMINATIVE FEATURE DOMAINS FOR REVERBERANT ACOUSTIC ENVIRONMENTS
         Constantinos Papayiannis; Imperial College London
         Christine Evers; Imperial College London
         Patrick A. Naylor; Imperial College London
 
  AASP-P12.3: SUBSPACE PROJECTION CEPSTRAL COEFFICIENTS FOR NOISE ROBUST ACOUSTIC EVENT RECOGNITION
         Sangwook Park; Korea University
         Younglo Lee; Korea University
         David K. Han; Office of Naval Research
         Hanseok Ko; Korea University
 
  AASP-P12.4: BLSTM-HMM HYBRID SYSTEM COMBINED WITH SOUND ACTIVITY DETECTION NETWORK FOR POLYPHONIC SOUND EVENT DETECTION
         Tomoki Hayashi; Nagoya University
         Shinji Watanabe; Mitsubishi Electric Research Laboratories
         Tomoki Toda; Nagoya University
         Takaaki Hori; Mitsubishi Electric Research Laboratories
         Jonathan Le Roux; Mitsubishi Electric Research Laboratories
         Kazuya Takeda; Nagoya University
 
  AASP-P12.5: SOUND EVENT DETECTION USING SPATIAL FEATURES AND CONVOLUTIONAL RECURRENT NEURAL NETWORK
         Sharath Adavanne; Tampere University of Technology
         Pasi Pertilä; Tampere University of Technology
         Tuomas Virtanen; Tampere University of Technology
 
  AASP-P12.6: AUDIO SET: AN ONTOLOGY AND HUMAN-LABELED DATASET FOR AUDIO EVENTS
         Jort F. Gemmeke; Google Inc.
         Daniel P. W. Ellis; Google Inc.
         Dylan Freedman; Google Inc.
         Aren Jansen; Google Inc.
         Wade Lawrence; Google Inc.
         R. Channing Moore; Google Inc.
         Manoj Plakal; Google Inc.
         Marvin Ritter; Google Inc.
 
  AASP-P12.7: REVERBERATION-BASED FEATURE EXTRACTION FOR ACOUSTIC SCENE CLASSIFICATION
         Milos Markovic; Huawei Technologies Düsseldorf GmbH
         Jürgen Geiger; Huawei Technologies Düsseldorf GmbH
 
  AASP-P12.8: LARGE-SCALE AUDIO EVENT DISCOVERY IN ONE MILLION YOUTUBE VIDEOS
         Aren Jansen; Google Inc.
         Jort F. Gemmeke; Google Inc.
         Daniel P. W. Ellis; Google Inc.
         Xiaofeng Liu; Google Inc.
         Wade Lawrence; Google Inc.
         Dylan Freedman; Google Inc.
 
  AASP-P12.9: WEAKLY-SUPERVISED AUDIO EVENT DETECTION USING EVENT-SPECIFIC GAUSSIAN FILTERS AND FULLY CONVOLUTIONAL NETWORKS
         Ting-Wei Su; Academia Sinica
         Jen-Yu Liu; National Taiwan University
         Yi-Hsuan Yang; Academia Sinica
 
  AASP-P12.10: DEEP NEURAL NETWORK BASED LEARNING AND TRANSFERRING MID-LEVEL AUDIO FEATURES FOR ACOUSTIC SCENE CLASSIFICATION
         Seongkyu Mun; Korea University
         Suwon Shon; Korea University
         Wooil Kim; Incheon National University
         David K. Han; Office of Naval Research
         Hanseok Ko; Korea University