Lists (2)
Stars
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.
Get your documents ready for gen AI
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
Official code for KSRIR – an objective evaluation metric for B-format RIRs.
BINAQUAL: A Full-Reference Objective Localization Similarity Metric for Binaural Audio
SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)