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.
Paper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
Speech Synthesis | 42 | 24.71% |
Text-To-Speech Synthesis | 15 | 8.82% |
Decoder | 10 | 5.88% |
Sentence | 9 | 5.29% |
General Classification | 6 | 3.53% |
Voice Cloning | 5 | 2.94% |
Classification | 5 | 2.94% |
Voice Conversion | 4 | 2.35% |
Speech Recognition | 4 | 2.35% |
Component | Type |
|
---|---|---|
🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |