Technical Program

AASP-L2: Detection and Classification of Acoustic Scenes and Events II

Session Type: Lecture
Time: Tuesday, May 14, 17:30 - 19:30
Location: Meeting Room 1
Session Chair: Panayiotis Georgiou, University of Southern California
 
AASP-L2.1: A COMPARISON OF FIVE MULTIPLE INSTANCE LEARNING POOLING FUNCTIONS FOR SOUND EVENT DETECTION WITH WEAK LABELING
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Yun Wang; Carnegie Mellon University
         Juncheng Li; Carnegie Mellon University
         Florian Metze; Carnegie Mellon University
 
AASP-L2.2: JOINT ACOUSTIC AND CLASS INFERENCE FOR WEAKLY SUPERVISED SOUND EVENT DETECTION
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Sandeep Kothinti; Johns Hopkins University
         Keisuke Imoto; Ritsumeikan University
         Debmalya Chakrabarty; Johns Hopkins University
         Gregory Sell; Johns Hopkins University
         Shinji Watanabe; Johns Hopkins University
         Mounya Elhilali; Johns Hopkins University
 
AASP-L2.3: ACOUSTIC EVENT DETECTION FROM WEAKLY LABELED DATA USING AUDITORY SALIENCE
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Zuzanna Podwinska; University of Salford
         Iwona Sobieraj; University of Surrey
         Bruno M Fazenda; University of Salford
         William J. Davies; University of Salford
         Mark D Plumbley; University of Surrey
 
AASP-L2.4: SOUND EVENT DETECTION WITH SEQUENTIALLY LABELLED DATA BASED ON CONNECTIONIST TEMPORAL CLASSIFICATION AND UNSUPERVISED CLUSTERING
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Yuanbo Hou; Beijing University of Posts and Telecommunications
         Qiuqiang Kong; University of Surrey
         Shengchen Li; Beijing University of Posts and Telecommunications
         Mark D. Plumbley; University of Surrey
 
AASP-L2.5: UNIFYING ISOLATED AND OVERLAPPING AUDIO EVENT DETECTION WITH MULTI-LABEL MULTI-TASK CONVOLUTIONAL RECURRENT NEURAL NETWORKS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Huy Phan; University of Kent
         Oliver Y. Chén; University of Oxford
         Philipp Koch; University of Lübeck
         Lam Pham; University of Kent
         Ian McLoughlin; University of Kent
         Alfred Mertins; University of Lübeck
         Maarten De Vos; University of Oxford
 
AASP-L2.6: ATTENTION-BASED ATROUS CONVOLUTIONAL NEURAL NETWORKS: VISUALISATION AND UNDERSTANDING PERSPECTIVES OF ACOUSTIC SCENES
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Zhao Ren; University of Augsburg
         Qiuqiang Kong; University of Surrey
         Jing Han; University of Augsburg
         Mark Plumbley; University of Surrey
         Björn Schuller; University of Augsburg