The Binaural Rendering Toolbox (BRT) is a set of software libraries, applications, and definitions aimed as a virtual laboratory for psychoacoustic experimentation. The BRT is developed in the fram…

Binaural to Ambisonics Conversion Pipeline

A Python library for acousticians.

Quality Assessment for SpaTial Audio network.A DNN-based Quality Metric for Spatial Audio (HOA, binaural)

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

AI agents running research on single-GPU nanochat training automatically

FLAMO: Frequency-sampling Library for Audio-Module Optimization

Open-Unmix - Music Source Separation for PyTorch

Advanced Signal Processing Notebooks and Tutorials

A curated collection of automation blueprints for Home Assistant.

Upload of several code examples to be used with the audio-appkits (e.g. audio-loopback through aurix, usage of class-D amplifier, usage of PDM microphones, small ethernet-streaming examples, etc…)

The PyTorch-based audio source separation toolkit for researchers

Toolbox for Evaluation of AEC/AES Systems

HARP: A Large-Scale Higher-Order Ambisonic Room Impulse Response Dataset

Analyze, visualize, and process sound field data recorded by spherical microphone arrays.

A Python Library for Full Reference Binaural Fidelity Testing, Visualization & Feature Generation

An Open-Source Library for RIR Synthesis and Analysis in PyTorch based on FLAMO

DAW focused plugins and apps relating to mixing Mach1 Spatial multichannel mixes

Spatial Audio rendering library, with Ambisonic encoding/decoding, binauralization in C++

Tutorial on using machine learning for acoustics. This tutorial covers a wide range of machine learning approaches for acoustic applications.

an architecture for neural network inference in real-time audio applications

MATLAB implementation of the Speech Transmission Index for Public Address (STIPA) method for evaluating the speech transmission quality.

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Nighthawk is a machine learning model for acoustic monitoring of nocturnal bird migration.

A pre-trained deep learning system for detecting bird flight calls in continuous recordings