Open-source licenses
Effective October 4, 2026
AudioRinse is built on open-source software. Thank you to these projects.
DeepFilterNet
Used for the speech-enhancement model and its runtime (compiled to WebAssembly).
License: MIT or Apache-2.0. © Hendrik Schröter and contributors.
Model trained on public speech and noise corpora, including the Microsoft DNS Challenge datasets; see the project's documentation for dataset credits.
tract
Used for neural-network inference inside the DeepFilterNet runtime.
License: MIT or Apache-2.0. © Sonos, Inc. and contributors.
Mediabunny
Used for reading and writing audio and video files.
License: MPL-2.0. © Vanilagy and contributors.
Source code is available at the link.
@mediabunny/aac-encoder
Used for AAC audio encoding in browsers without a built-in encoder.
License: MPL-2.0; includes the FFmpeg AAC encoder (libavcodec), LGPL-2.1-or-later. © Vanilagy; © the FFmpeg developers.
FFmpeg source code: https://ffmpeg.org/download.html. It is loaded as a separate module you can replace.
Kokoro-82M
Used for the synthetic voices in the before/after examples.
License: Apache-2.0. © hexgrad and contributors.
Instrument Sans
Used for the typeface (self-hosted with the site, so your browser never contacts Google Fonts; a static cut is used for link-preview images).
License: SIL Open Font License 1.1. © The Instrument Sans Project Authors.
Next.js and React
Used for the website.
License: MIT. © Vercel, Inc.; © Meta Platforms, Inc. and affiliates.
The room-echo reduction uses the weighted prediction error (WPE) method described by Nakatani et al. (2010) and Yoshioka & Nakatani (2012), implemented by us.