Audio Model Blocks
ParaNet Convolution Block
Introduced by Peng et al. in Non-Autoregressive Neural Text-to-SpeechA ParaNet Convolution Block is a convolutional block that appears in the encoder and decoder of the ParaNet text-to-speech architecture. It consists of a 1-D convolution with a gated linear unit (GLU) and a residual connection. It is similar to the DV3 Convolution Block.
Source: Non-Autoregressive Neural Text-to-Speech
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Text to Speech | 2 | 40.00% |
| GPR | 1 | 20.00% |
| point cloud upsampling | 1 | 20.00% |
| Text-To-Speech Synthesis | 1 | 20.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
Convolution
|
Convolutions | |
Dropout
|
Regularization | |
GLU
|
Activation Functions | |
Residual Connection
|
Skip Connections |
