Sound analysis/synthesis tools for music applications
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Updated
Mar 11, 2021 - Python
Sound analysis/synthesis tools for music applications
Sound analysis/synthesis tools for music applications
Using autoencoders to generate images and sound
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
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.
A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models
Latest laughter detection & segmentaion model.
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 SuperCollider
Python audio coding classes - for dsp and sonification
SouPyX: An Audio Exploration Space.🪐
Sonification tool for turning scatter plots into perceptually uniform sound files for science and science access.
Code for the "NoiseBandNet: Controllable Time-Varying Neural Synthesis of Sound Effects Using Filterbanks" paper.
Turn an image into sound whose spectrogram looks like the image.
Sound analysis/synthesis tools for music applications
Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.
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