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benchmarks-detection-denoising

Open-source, collaborative benchmarks of signal detection and denoising methods in the time-frequency plane.

benchmarks_eusipco2023

Available for reproducibility purposes. This repository complements the article"Benchmarks of Multi-Component Signal Analysis Methods" by J.M. Miramont, Q. Legros, D. Fourer and F. Auger.

gretsi_2022_benchmark

Supporting code for the GRETSI 2022 article.

jmiramont.github.io

kymatio

Wavelet scattering transforms in Python with GPU acceleration

mcsm-benchs

A toolbox that provides a common framework for benchmarks of multi-component signal processing methods.

praat-scripts

PRAAT scripts.

scattering-perceptual-evaluation

Available for reproducibility purposes. This repository complements the article "Emulating perceptual evaluation of voice using Scattering Transform based features" by J.M. Miramont, M. Colominas and G. Schlotthauer. DOI: 10.1109/TASLP.2022.3178239

spectrogram-zeros-classification

Available for reproducibility purposes. This repository complements the article "Unsupervised Classification of the Spectrogram Zeros with an Application to Signal Detection and Denoising" by J.M. Miramont, F. Auger, M. Colominas, N. Laurent and S. Meignen.

total-variation-jitter

Supporting code for the article "Voice Jitter Estimation Using High-Order Synchrosqueezing Operators" by J.M. Miramont, M. Colominas and G. Schlotthauer.