Technical Program

SS-L6: Acoustic Scene and Event Analysis in Multisource Environments

Session Type: Lecture
Time: Thursday, March 24, 13:30 - 15:30
Location: Room 3B
Session Chairs: Tuomas Virtanen, Tampere University of Technology and Emmanouil Benetos, Queen Mary University of London
 
SS-L6.1: RECURRENT NEURAL NETWORKS FOR POLYPHONIC SOUND EVENT DETECTION IN REAL LIFE RECORDINGS
         Giambattista Parascandolo; Tampere University of Technology
         Heikki Huttunen; Tampere University of Technology
         Tuomas Virtanen; Tampere University of Technology
 
SS-L6.2: ACOUSTIC SCENE CLASSIFICATION WITH MATRIX FACTORIZATION FOR UNSUPERVISED FEATURE LEARNING
         Victor Bisot; Télécom ParisTech
         Romain Serizel; Télécom ParisTech
         Slim Essid; Télécom ParisTech
         Gaël Richard; Télécom ParisTech
 
SS-L6.3: DETECTION OF OVERLAPPING ACOUSTIC EVENTS USING A TEMPORALLY-CONSTRAINED PROBABILISTIC MODEL
         Emmanouil Benetos; Queen Mary University of London
         Grégoire Lafay; Ecole Centrale de Nantes
         Mathieu Lagrange; Ecole Centrale de Nantes
         Mark D. Plumbley; University of Surrey
 
SS-L6.4: CLASSIFICATION OF HUMAN COUGH SIGNALS USING SPECTRO-TEMPORAL GABOR FILTERBANK FEATURES
         Jens Schröder; Fraunhofer Institute for Digital Media Technology
         Jörn Anemüller; University of Oldenburg
         Stefan Goetze; Fraunhofer Institute for Digital Media Technology
 
SS-L6.5: DEEP NEURAL NETWORKS FOR AUTOMATIC DETECTION OF SCREAMS AND SHOUTED SPEECH IN SUBWAY TRAINS
         Pierre Laffitte; IFFSTAR
         David Sodoyer; IFFSTAR
         Laurent Girin; INRIA Grenoble Rhône-Alpes, Univ. Grenoble Alpes
         Charles Tatkeu; IFSTTAR
 
SS-L6.6: A COMPARATIVE STUDY OF MULTI-CHANNEL PROCESSING METHODS FOR NOISY AUTOMATIC SPEECH RECOGNITION IN URBAN ENVIRONMENTS
         Tran Huy Dat; Institute for Infocomm Research
         Jonathan William Dennis; Institute for Infocomm Research
         Leng Yi Ren; Institute for Infocomm Research
         Ng Wen Zheng Terence; Institute for Infocomm Research
 

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