Comments (4)
from deeptune.
#15 needed for testing.
from deeptune.
While there is now a non-breaking setup for a 'style transfer' from one fragment to another, the 'transfer' is not audibly convincing.
This is likely due to the weakness of the current model architecture, which probably is not capturing content and style in an appropriate way.
from deeptune.
With #18 this seems to be working...
from deeptune.
Related Issues (20)
- Song recognizing neural net in tensorflow
- 3D convolutional network for harmonic features. HOT 1
- Reconstruct song (in mp3 form) from fragment series HOT 1
- Loss of signal in song roundtrip -- try keeping in amplitude space HOT 2
- Fragments as a Class HOT 1
- Style transfer for two whole songs with trained model HOT 1
- improve tooling around listening to style transfer output (for testing)
- Improve ANN architecture to capture better features
- better output path for transfers
- Utility for transforming mp3 into array data HOT 1
- explore use of multiple targets in style extractor
- Try increasing the sampling rate
- Genre test in scripts
- Solve array data to mp3/wav link. HOT 1
- arbitrary sound transform class HOT 2
- Implement master plan.
- Improve audio quality in audio -> array -> audio round trip HOT 1
- learn tensorflow
- training/test data from steve morrell corpus
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from deeptune.