Library/ddspForked

magenta/ddsp

ddsp

DDSP: Differentiable Digital Signal Processing

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magenta

magenta

magenta • individual

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3,244

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Forks

380

Using upstream fork count

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0/100

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Created

Jan 14, 2020

Project creation date

README Summary

DDSP is a library for differentiable digital signal processing that enables neural networks to generate and manipulate audio using interpretable DSP operations. It combines traditional signal processing techniques with deep learning by making DSP operations differentiable, allowing for end-to-end training of audio synthesis models. The library focuses on audio generation tasks like timbre transfer and synthesis with more interpretable and controllable models than traditional black-box approaches.

AI Dev Skills

Unmapped

Differentiable ProgrammingDigital Signal ProcessingNeural Audio SynthesisGradient-Based OptimizationAudio Feature ExtractionSpectral AnalysisNeural Network Architecture DesignTime-Series Modeling

Tags

Differentiable ProgrammingDigital Signal ProcessingNeural Audio SynthesisGradient-Based OptimizationAudio Feature ExtractionSpectral AnalysisNeural Network Architecture DesignTime-Series ModelingInstrument ModelingSelf-hostedCreative ArtsMusic GenerationNeural SynthesisAudioReal-time Audio ProcessingMusic TechnologyCloud APIAudio ProductionEntertainmentAudio Effect GenerationAI-Generated ContentAudio Style TransferPython

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Recent Activity

Updated 1 months ago

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30 Days

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90 Days

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Quality

research
Quality
high
Maturity
research

Categories

Inference & ServingPrimaryOther AI / MLGenerative Media

PM Skills

Scale & ReliabilityCost & Efficiency

Languages

Python100.0%

Timeline

Project created
Jan 14, 2020
Forked
Mar 13, 2026
Your last push
1 months ago
Upstream last push
1 months ago
Tracked since
Mar 7, 2026

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