2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
AUD-22: Detection and Classification of Acoustic Scenes and Events 3: Multimodal Scenes and Events |
| Session Type: Poster |
| Time: Thursday, 10 June, 15:30 - 16:15 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Kostantinos Drossos, Tampere University |
| AUD-22.1: LEARNING CONTEXTUAL TAG EMBEDDINGS FOR CROSS-MODAL ALIGNMENT OF AUDIO AND TAGS |
| Xavier Favory; Music Technology Group, Universitat Pompeu Fabra |
| Konstantinos Drossos; Audio Research Group, Tampere University |
| Tuomas Virtanen; Audio Research Group, Tampere University |
| Xavier Serra; Music Technology Group, Universitat Pompeu Fabra |
| AUD-22.2: EFFICIENT END-TO-END AUDIO EMBEDDINGS GENERATION FOR AUDIO CLASSIFICATION ON TARGET APPLICATIONS |
| Paulo Lopez-Meyer; Intel Corporation |
| Juan A. Del Hoyo Ontiveros; Intel Corporation |
| Hong Lu; Intel Corporation |
| Georg Stemmer; Intel Corporation |
| AUD-22.3: TEXT-TO-AUDIO GROUNDING: BUILDING CORRESPONDENCE BETWEEN CAPTIONS AND SOUND EVENTS |
| Xuenan Xu; Shanghai Jiao Tong University |
| Heinrich Dinkel; Shanghai Jiao Tong University |
| Mengyue Wu; Shanghai Jiao Tong University |
| Yu Kai; Shanghai Jiao Tong University |
| AUD-22.4: MULTI-VIEW AUDIO AND MUSIC CLASSIFICATION |
| Huy Phan; Queen Mary University of London |
| Huy Le Nguyen; HCM City University of Technology |
| Oliver Chén; University of Oxford |
| Lam Pham; University of Surrey |
| Philipp Koch; University of Lübeck |
| Ian McLoughlin; Singapore Institute of Technology |
| Alfred Mertins; University of Lübeck |
| AUD-22.5: AUDIO-VISUAL EVENT RECOGNITION THROUGH THE LENS OF ADVERSARY |
| Juncheng Li; Carnegie Mellon University |
| Kaixin Ma; Carnegie Mellon University |
| Shuhui Qu; Stanford University |
| Po-Yao Huang; Carnegie Mellon University |
| Florian Metze; Carnegie Mellon University |
| AUD-22.6: DCASENET: AN INTEGRATED PRETRAINED DEEP NEURAL NETWORK FOR DETECTING AND CLASSIFYING ACOUSTIC SCENES AND EVENTS |
| Jee-weon Jung; University of Seoul |
| Hye-jin Shim; University of Seoul |
| Ju-ho Kim; University of Seoul |
| Ha-Jin Yu; University of Seoul |