Advanced-Deep-Learning-with-Keras
Speech_driven_gesture_generation_with_autoencoder
| Advanced-Deep-Learning-with-Keras | Speech_driven_gesture_generation_with_autoencoder | |
|---|---|---|
| 1 | 4 | |
| 1,716 | 103 | |
| 0.2% | 1.0% | |
| 0.0 | 0.0 | |
| about 1 year ago | 10 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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Advanced-Deep-Learning-with-Keras
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Cannot understand how REINFORCE model is trained
I have understood the concept of REINFORCE algorithm and what policy gradient is. However, when I see the code published by PacktPublishing, I was stuck with it.
Speech_driven_gesture_generation_with_autoencoder
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[R] Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Code and demo available
Project page: https://svito-zar.github.io/audio2gestures/
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[R] Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Code and dataset available
Project page: https://svito-zar.github.io/audio2gestures/
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[R] Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Code available
Code: https://github.com/GestureGeneration/Speech_driven_gesture_generation_with_autoencoder
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