Discover etzinis/bootstrapped_mds Open Source project

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Created almost 6 years ago
Updated almost 6 years ago

etzinis

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Bootstrapped MDS: A Coordinate Search Algorithm for Multidimensional Scaling which optimizes Stress by evaluating the function multiple times over different coordinates but also bootstraping over previous successful iterations. With this algorithm there is a probability of evaluating the function alongside a coordinate step depending on the previous successful evaluations across this coordinate.

sudo_rm_rf

Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.

Jupyter Notebook

303

two_step_mask_learning

A two step optimization for sound source separation on the adaptive front-end domain

Python

unsup_speech_enh_adaptation

Unsupervised domain adaptation for conversational speech enhancement using RemixIT

Jupyter Notebook

fedenhance

Code for the paper: Separate but togerher: Unsupervised Federated Learning for Speech Enhancement from non-iid data