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 voice synthesiser.

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch

MIDI Piano synthesizer using DDSP.

Fast and differentiable time domain all-pole filter in PyTorch.

Differentiable dynamic range controller in PyTorch.

Multitrack music mixing style transfer given a reference song using differentiable mixing console.

FLAMO: Frequency-sampling Library for Audio-Module Optimization

Searching for Music Mixing Graphs: A Pruning Approach

Python scripts for AI voice changers

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

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,…

Streamlit version for the DDSP timbre transfer demo.

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

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

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

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