Search Results for "generative music"
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Showing 9 open source projects for "generative music"
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1
AudioGenerator
Generates a sound given: volume, frequency, duration
Generates a sound given: volume, frequency, duration! Download build.zip, unpack zip, and run the executable. -
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MusicLM - Pytorch
Implementation of MusicLM music generation model in Pytorch
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch. They are basically using text-conditioned AudioLM, but surprisingly with the embeddings from a text-audio contrastive learned model named MuLan. MuLan is what will be built out in this repository, with AudioLM modified from the other repository to support the music generation needs here. -
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DeepMozart
Audio generation using diffusion models
Audio generation using diffusion models in PyTorch. The code is based on the audio-diffusion-pytorch repository. -
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audio-diffusion-pytorch
Audio generation using diffusion models, in PyTorch
A fully featured audio diffusion library, for PyTorch. Includes models for unconditional audio generation, text-conditional audio generation, diffusion autoencoding, upsampling, and vocoding. The provided models are waveform-based, however, the U-Net (built using a-unet), DiffusionModel, diffusion method, and diffusion samplers are both generic to any dimension and highly customizable to work on other formats. Note: no pre-trained models are provided here, this library is meant for research... -
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AudioLM - Pytorch
Implementation of AudioLM audio generation model in Pytorch
Implementation of AudioLM, a Language Modeling Approach to Audio Generation out of Google Research, in Pytorch It also extends the work for conditioning with classifier free guidance with T5. This allows for one to do text-to-audio or TTS, not offered in the paper. Yes, this means VALL-E can be trained from this repository. It is essentially the same. This repository now also contains a MIT licensed version of SoundStream. It is also compatible with EnCodec, however, be aware that it... -
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Audiogen Codec
48khz stereo neural audio codec for general audio
AGC (Audiogen Codec) is a convolutional autoencoder based on the DAC architecture, which holds SOTA. We found that training with EMA and adding a perceptual loss term with CLAP features improved performance. These codecs, being low compression, outperform Meta's EnCodec and DAC on general audio as validated from internal blind ELO games. We trained (relatively) very low compression codecs in the pursuit of solving a core issue regarding general music and audio generation, low acoustic quality... -
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htmid
Generative Music For Beginners and Everyone Else
Generative music is a fascinating and innovative approach to music creation that involves creating procedurally generated music that evolves and changes over time. Whether you're a beginner or a seasoned musician, this guide will introduce you to the world of generative music and show you how to create your own live music performances. Generative music is music that is ever-changing and created in real-time. It can be created by anyone, with or without musical experience. Learn how to create... -
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WaveBricks
Generative music making programme, constructing shapes from sounds.
Generative music making programme, constructing shapes from sounds that themselves are constructed from sine waves. Paypal bagels105oranges@gmail.com for donations. V1.0 - sound engine working, exports .wav of instruments, but only one per output.(last instrument created.) -
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CS Figures
Heuristic-based fractal and music generator-256+ systems.
Welcome to CSFigures, the generative rendering program for all sorts of interpretations of digital roots. Digital roots in this program are constructed on a basis of a multiplication table, but with alternate counting systems contrasted, different from 0-9. The data is then analyzed by adding the imaginary digital symbols together, to achieve a single digit number, or alternately working with heuristics such as finding the last or lowest/highest digit of each number. You may see your options... -
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