SSE is a powerful and versatile software environment designed for soundscape visualisation and quantification. It provides a robust platform for processing audio files, generating useful metrics, and presenting data through intuitive visualisation interfaces. Catering to bioacousticians and data scientists alike,
SSE encompasses an extensive range of tools and capabilities to fulfil diverse user requirements.
This application uses state-of-the-art source separation models to remove vocals from audio files. UVR’s core developers trained all of the models provided in this package (except for the Demucs v3 and v4 4-stem models).
A tool to create audio processing pipelines for applications such as active crossovers or room correction. It is written in Rust to benefit from the safety and elegant handling of threading that this language provides. Supported platforms: Linux, macOS, Windows.
Audio data is captured from a capture device and sent to a playback device. Alsa, PulseAudio, Jack, Wasapi and CoreAudio are currently supported for both capture and playback.
The processing pipeline consists of any number of filters and mixers. Mixers are used to route audio between channels and to change the number of channels in the stream. Filters can be both IIR and FIR. IIR filters are implemented as biquads, while FIR use convolution via FFT/IFFT. A filter can be applied to any number of channels. All processing is done in chunks of a fixed number of samples. A small number of samples gives a small in-out latency while a larger number is required for long FIR filters. The full configuration is given in a YAML file.
MusicSync is a cross-platform tool that synchronizes your music library between devices and drives with advanced settings.
You can use it through CLI, that makes easy to sync you library with only a click using a script, or through GUI, that is more user-friendly. Here there are two examples:
Benihora is a Rust library and VST Plugin that generates voice based on a vocal tract model. This is a Rust port of Pink Trombone developed by Neil Thapen with some customizations.
The Audio File 