| Paper ID | AUD-P2.7 |
| Paper Title |
EFFICIENT AND SCALABLE NEURAL RESIDUAL WAVEFORM CODING WITH COLLABORATIVE QUANTIZATION |
| Authors |
Kai Zhen, Indiana University, United States; Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Electronics and Telecommunications Research Institute (ETRI), Korea (South); Minje Kim, Indiana University, United States |
| Session | AUD-P2: Deep Learning for Speech and Audio |
| 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-AMCT] Audio and Speech Modeling, Coding and Transmission |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |