A 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 AudioPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Speech Synthesis | 54 | 18.62% |
Decoder | 20 | 6.90% |
Text-To-Speech Synthesis | 15 | 5.17% |
Voice Conversion | 13 | 4.48% |
Time Series Analysis | 9 | 3.10% |
Audio Generation | 8 | 2.76% |
Speech Enhancement | 7 | 2.41% |
Traffic Prediction | 6 | 2.07% |
Time Series Forecasting | 6 | 2.07% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |