Search Results for "data modeling"

...It includes MusicGen for music generation conditioned on text (and optionally melody) and AudioGen for text-conditioned sound effects and environmental audio. Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. The repo provides inference scripts, checkpoints, and simple Python APIs so you can generate clips from prompts or incorporate the models into applications. It also contains training code and recipes, so researchers can fine-tune on custom data or explore new objectives without building infrastructure from scratch. Example notebooks, CLI tools, and audio utilities help with prompt design, conditioning on reference audio, and post-processing to produce ready-to-share outputs.

...The model can operate in real time and supports variable bandwidths, bitrates, and multi-band audio. Encodec has applications in speech and music compression, generative modeling, and efficient data transmission for communication systems. The repository includes pretrained checkpoints, PyTorch inference code, and examples for integrating Encodec as a module in downstream generative or streaming systems.

This is an adaptation of the software used by chdh for the performance egregore in 2011-2013. It is based on five different audiovisual instruments made of chaotic and physical modeling algorithms that you can directly control. They have been remotely controlled live by chdh the 27th may 2015. You can play, adapt, and use this audiovisual instrument for yourself. It is based on physical modeling and chaotic algorithms entirely build in the Pure Data software.