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 |