Bidirectional Recurrent Neural Networks
Bidirectional GRU
A Bidirectional GRU, or BiGRU, is a sequence processing model that consists of two GRUs. one taking the input in a forward direction, and the other in a backwards direction. It is a bidirectional recurrent neural network with only the input and forget gates.
Image Source: Rana R (2016). Gated Recurrent Unit (GRU) for Emotion Classification from Noisy Speech.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Speech Synthesis | 43 | 22.40% |
| Text-To-Speech Synthesis | 15 | 7.81% |
| Decoder | 11 | 5.73% |
| Sentence | 9 | 4.69% |
| General Classification | 6 | 3.13% |
| Voice Cloning | 5 | 2.60% |
| Classification | 5 | 2.60% |
| Deep Learning | 4 | 2.08% |
| Voice Conversion | 4 | 2.08% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
