| Paper ID | AUD-P1.5 |
| Paper Title |
A Deep Neural Network-Driven Feature Learning Method for Polyphonic Acoustic Event Detection from Real-Life Recordings |
| Authors |
Manjunath Mulimani, Manipal Institute of Technology Manipal, India; Akash B Kademani, Symbiosis Institute of Technology, India; Shashidhar G Koolagudi, National Institute of Technology Karnataka, India |
| Session | AUD-P1: Deep Learning for Audio Classification |
| Location | On-Demand |
| Session Time: | Tuesday, 05 May, 11:30 - 13:30 |
| Presentation Time: | Tuesday, 05 May, 11:30 - 13:30 |
| Presentation |
Poster
|
| Topic |
Audio and Acoustic Signal Processing: [AUD-CLAS] Detection and Classification of Acoustic Scenes and Events |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |