A Python toolkit for sound source separation.
Combine sound source separation with SRP-PHAT to achieve multi-source localization.
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
Variations of L1 SNR Loss function for training audio source separation machine learning models
Official codebase for "Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling".
Official Codebase of "A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition" (ICML 2023)
Implements the DUET blind source separation algorithm. MATLAB code from here - https://github.com/yvesx/casa495
Code for the paper: Visually Guided Sound Source Separation using Cascaded Opponent Filter Network
Projects webpage
A machine learning project utilizing a 1D CNN to simultaneously locate up to three acoustic sources. Features advanced signal processing techniques like Permutation Invariant Training (PIT) to stabilize learning, alongside a detailed analysis of how sampling rates and volume affect accuracy.
Backend of MR based helper for hearing loss
Visualising Sound
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