A differentiable version of SPTK

In this project we combine techniques from neural voice cloning and musical instrument synthesis to achieve good results from as little as 16 seconds of target data.

A DDSP-based neural vocoder.

MIDI Piano synthesizer using DDSP.

Differentiable dynamic range controller in PyTorch.

Python scripts for AI voice changers

Streamlit version for the DDSP timbre transfer demo.

This project aims at filtering out the human vocals of songs using a library Spleeter, and turning them into instrumental versions, creating an ideal platform for young talented music enthusiasts to explore and learn to play various instruments. The vocals are converted to covers using the Differentiable Digital Signal Processing (DDSP) library,…

HW+SW project aiming to provide guitarists with audio effects generated from a music file

Master's Thesis Project - NYU Steinhardt Music Technology - The raivBox is a standalone neural audio synthesis device based on Google Magenta's DDSP, with an NVIDIA Jetson Nano 2GB embedded development board at its core.

Incomplete DDSP implementation in Pytorch

ddsp-vst ported to AAP (Audio Plugins For Android) using aap-juce

react-tonejs-crossfader-mixer with upcoming ddsp-ai implementation

digitally process audio data with AI/ML & Magenta´s DDSP

Knowledge Distillation of different DDSP Decoders for audio signal generation

Using DDSP to learn and synthesize singing with modifiable latent space parameters

IOS application developed using Machine Learning models basic-pitch, DDSP to transform recorded audio to the piano sound while giving corresponding music notes.

Mirror from github enterprise; bachelor thesis; timbre transfer with DDSP and tensorflow

Fork of midi2params, with the goal of creating a more user-friendly tool for training your own models!