A library for audio and music analysis, feature extraction.
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Updated
May 24, 2024 - C
A library for audio and music analysis, feature extraction.
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
🔉 spafe: Simplified Python Audio Features Extraction
A Python module for time-frequency analysis
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Stockwell transform for Python
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
Numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University for analysing real-life time-series.
This plugin plots Coherence and Spectrogram (power vs Frequency).
This repo contains the ENF-WHU audio recording dataset collected around Wuhan University campus and the MATLAB programs for electronic network frequency (ENF) detection, enhancement, and robust estimation, in ENF-based audio forensic applications.
Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification
Python implementation of MODA, a numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University.
Codes/images for StackExchange answers
Constant-Q Transform Toolbox for Python/MATLAB
EEG/MEG data preprocessing and analyses framework
The current repository is able to assess the relationship between EEG components and HDDM parameters of top-down attention in perceptual decision-making using a multiple regression model
A simple and user-friendly tool for computing STFT/DGT
MATLAB + Python implementations of real-time median-filtering Harmonic-Percussive Source Separation
A python based Wigner distribution including a method for interference reduction
autofft is a Matlab package which performs the time-frequency analysis without the need of Signal Processing Toolbox™. It mimics options of the Brüel & Kjaer FFT analysers and focuses on fast and accurate estimates of averaged autospectra (also called modified periodograms) and spectrograms.
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