2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

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AUD-12: Detection and Classification of Acoustic Scenes and Events 1: Few-shot learning

Session Type: Poster
Time: Wednesday, 9 June, 15:30 - 16:15
Location: Gather.Town
Virtual Session: View on Virtual Platform
Session Chair: Justin Salamon, Adobe Research
 
 AUD-12.1: FEW-SHOT CONTINUAL LEARNING FOR AUDIO CLASSIFICATION
         Yu Wang; New York University
         Nicholas J. Bryan; Adobe Research
         Mark Cartwright; New York University
         Juan Pablo Bello; New York University
         Justin Salamon; Adobe Research
 
 AUD-12.2: ZERO-SHOT AUDIO CLASSIFICATION WITH FACTORED LINEAR AND NONLINEAR ACOUSTIC-SEMANTIC PROJECTIONS
         Huang Xie; Tampere University
         Okko Räsänen; Tampere University
         Tuomas Virtanen; Tampere University
 
 AUD-12.3: UNSUPERVISED AND SEMI-SUPERVISED FEW-SHOT ACOUSTIC EVENT CLASSIFICATION
         Hsin-Ping Huang; University of California, Merced
         Krishna Puvvada; Amazon Alexa
         Ming Sun; Amazon Alexa
         Chao Wang; Amazon Alexa
 
 AUD-12.4: FLOW-BASED SELF-SUPERVISED DENSITY ESTIMATION FOR ANOMALOUS SOUND DETECTION
         Kota Dohi; Hitachi, Ltd.
         Takashi Endo; Hitachi, Ltd.
         Harsh Purohit; Hitachi, Ltd.
         Ryo Tanabe; Hitachi, Ltd.
         Yohei Kawaguchi; Hitachi, Ltd.
 
 AUD-12.5: SELF-TRAINING FOR SOUND EVENT DETECTION IN AUDIO MIXTURES
         Sangwook Park; Johns Hopkins University
         Ashwin Bellur; Johns Hopkins University
         David K. Han; Drexel University
         Mounya Elhilali; Johns Hopkins University
 
 AUD-12.6: PROTOTYPICAL NETWORKS FOR DOMAIN ADAPTATION IN ACOUSTIC SCENE CLASSIFICATION
         Shubhr Singh; Queen Mary University of London
         Helen L. Bear; Queen Mary University of London
         Emmanouil Benetos; Queen Mary University of London