Temporal Convolutions
Dilated Causal Convolution
Introduced by Oord et al. in WaveNet: A Generative Model for Raw AudioA Dilated Causal Convolution is a causal convolution where the filter is applied over an area larger than its length by skipping input values with a certain step. A dilated causal convolution effectively allows the network to have very large receptive fields with just a few layers.
Source: WaveNet: A Generative Model for Raw Audio
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Speech Synthesis | 53 | 21.81% |
| Text-To-Speech Synthesis | 15 | 6.17% |
| Voice Conversion | 13 | 5.35% |
| Time Series Analysis | 9 | 3.70% |
| Audio Generation | 8 | 3.29% |
| Speech Enhancement | 7 | 2.88% |
| Time Series Forecasting | 6 | 2.47% |
| Traffic Prediction | 5 | 2.06% |
| Speech Recognition | 5 | 2.06% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
