Pinned Repositories
3dti_AudioToolkit
3D Tune-In Toolkit is a custom open-source C++ library developed within the EU-funded project 3D Tune-In. The Toolkit provides a high level of realism and immersiveness within binaural 3D audio simulations, while allowing for the emulation of hearing aid devices and of different typologies of hearing loss.
A-Lab
Matlab-based software for measuring acoustic parameters and experiments.
acoular
Library for acoustic beamforming
acoustic-localisation-cnn
Convolutional Neural Network for Acoustic Localisation using Multiple Sensors
arlpy
ARL Python Tools
audio_dsp_101
beamformers
Easy to use Beamformers for multi-channel speech separation/enhancement
Beamforming-for-speech-enhancement
simple delaysum, MVDR and CGMM-MVDR
blog
A blog about Acoular
WIT-LAB1-2
MarcinEL's Repositories
MarcinEL/WIT-LAB1-2
MarcinEL/3dti_AudioToolkit
3D Tune-In Toolkit is a custom open-source C++ library developed within the EU-funded project 3D Tune-In. The Toolkit provides a high level of realism and immersiveness within binaural 3D audio simulations, while allowing for the emulation of hearing aid devices and of different typologies of hearing loss.
MarcinEL/A-Lab
Matlab-based software for measuring acoustic parameters and experiments.
MarcinEL/acoular
Library for acoustic beamforming
MarcinEL/blog
A blog about Acoular
MarcinEL/CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
MarcinEL/dsatools
Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition (EMD); empirical wavelet transform (EWT); Hilbert vibration decomposition (HVD) and many others.
MarcinEL/HHSA_CPU_OpenMP
Holo-Hilbert Spectral Analysis (HHSA) OpenMP version: This program can doing Hilbert–Huang Transform and then doing HHSA.
MarcinEL/MetaAF
Control adaptive filters with neural networks.
MarcinEL/PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
MarcinEL/python-pesq
PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)
MarcinEL/WIT-LAB3-4
MarcinEL/2023z-sdp
MarcinEL/ActiveNoiseControl
能動騒音制御(Active Noise Control)の説明資料
MarcinEL/ambisonic-encoding
Example MATLAB/Octave scripts to perform ambisonic encoding of microphone array signals
MarcinEL/COM303
Jupyter Notebooks for Digital Signal Processing
MarcinEL/Embedded_videos_STM32
Contents for my videos on embedded programming on Linux with STM32
MarcinEL/EMD
material related to empirical mode decomposition
MarcinEL/ESC-CNN-microcontroller
Environmental Sound Classification on Microcontrollers using Convolutional Neural Networks
MarcinEL/FLStudioASIO
FL Studio ASIO source file extracted from FL Studio.
MarcinEL/mayavoz
Pytorch based speech enhancement toolkit.
MarcinEL/pymushra
pyMUSHRA is a python web application which hosts webMUSHRA experiments and collects the data with python.
MarcinEL/pyo
Python DSP module
MarcinEL/SparseRandomModeDecomposition
Sparse Random Mode Decomposition
MarcinEL/techniki-mikrofonowe
MarcinEL/U.Porto-version-of-DSP-Education-Kit
This is an adaptation of the original ARM University DSP Education Kit (https://github.com/arm-university/Digital-Signal-Processing-Education-Kit) to serve the specificities of an undergraduate signal processing course at the University of Porto - Faculty of Engineering
MarcinEL/universal_transcoder
MarcinEL/webaudiofont
Use full GM set of musical instruments to play MIDI and single sounds or effects. Support for reverberation and equaliser. No plugins, no Flash. Pure HTML5 implementation compatible with desktop and mobile browser. See live examples.
MarcinEL/webMUSHRA
a MUSHRA compliant web audio API based experiment software
MarcinEL/whisper
Listening test toolbox for Matlab