Using autoencoders to generate images and sound
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Updated
Mar 13, 2022 - Python
Using autoencoders to generate images and sound
AI DJ web app turning text prompts into perfectly synced music
Sound analysis/synthesis tools for music applications
Desktop application for manipulating the frequency content of a signal using smoothing window functions
Experimental machine learning algorithms for sound synthesis
Zyne_B is a modular and programable synthesizer written in Python3. It is a fork of Olivier Bélanger's Zyne
Text-to-audio generation system with custom DSP pipeline and structured prompt engineering
Algorhythm is a Python application that allows you to create various randomized sounds using waveform generators and effects via code. With Algorhythm, you can create unique and experimental sound effects based on predefined algorithms combined with a degree of randomness.
Using hand gesture to control the music pitches, sound frequencies, and manipulate recordings.
Simi-SFX: A similarity-based conditioning method for controllable sound effects synthesis
A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models
Python bindings for csound, compatible with csound >= 6.18 and csound 7
A reinforcement learning agent for live human-machine sound improvisation.
Create .wav audio samples with text-to-sound generative AI
Dataset for Visually Indicated Sound Generation by Perceptually Optimized Classification
A physical modelling library for Python and SuperCollider
Python audio coding classes - for dsp and sonification
Sonification tool for turning scatter plots into perceptually uniform sound files for science and science access.
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