
DDSP
DDSP is a library that combines traditional DSP elements with deep learning for audio synthesis.
What is DDSP?
DDSP is the Differentiable Digital Signal Processing (DDSP) library. It is aimed at researchers and developers working on audio synthesis and modeling and combines interpretable DSP elements with neural networks to convert control signals into DSP parameters.
It uses simple interpretable DSP elements to create complex realistic signals by precisely controlling their many parameters, and DDSP passes parameters through known sound synthesis algorithms. Using differentiable oscillators, filters, and reverberation from the DDSP library, the project can train high-quality audio synthesis models with less data and fewer parameters.
DDSP Features
- ✓differentiable oscillators
- ✓filters
- ✓reverberation
- ✓Harmonic Additive Synthesizer
- ✓Subtractive Noise Synthesizer
What is DDSP used for?
- ✓timbre transfer between disparate sources
- ✓blind dereverberation
- ✓extrapolation to pitches not in the training set
DDSP Pricing
Contact for pricing
User reviews
No reviews yet. Be the first to review this tool.
Log in to write a review.