This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
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Updated
Mar 18, 2021 - MATLAB
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
MATLAB + Python implementations of real-time median-filtering Harmonic-Percussive Source Separation
A fourier-based audio-synthesiser wrote in MATLAB as a university project.
Normalized spectrogram of a seismic acceleration
This project is mainly about Local Field Potential (LFP).
🖼️🎵 Hide grayscale image in spectrogram by encoding pixels with sine waves
Music Recognition Application using MATLAB
Tonal detectors for low frequency vocalization of whales
A GUI for recording and visualizing audio waveforms and spectrograms, built with MATLAB.
This repository is for the Final Project for DSAP1718
Signature verifier. It uses DCT to extract the signature's features and then classifies them using SVM.
Matlab GUI which implements Zafar's audio player (Zap), featuring some practical functionalities such as a playback line, a select/drag tool, and a synchronized spectrogram.
The EEG_TF is a MATLAB toolbox designed to visualize time-frequency maps (spectrograms and scalograms) of the signals.
A repository and webpage accompanying the paper
This customized function save the MATLAB's generated audio spectrogram as image
BASSA is a GUI-based software tool for time-frequency analysis of low frequency animal vocalisations.
This repository presents the results of a technological initiation that encouraged my undergraduate thesis, I sought to improve my knowledge in digital signal processing applied to music. It is a spectral analysis tool for the audio of musical instruments, focusing on objectively characterizing timbre.
Source-code of Bachelor thesis about seperating voice from songs.
Instrument prediction using spectrograms, leveraging the power of Convolutional Neural Networks (CNNs) and Transfer Learning techniques in MATLAB. The goal of this project is to accurately classify musical instruments based on their audio recordings.
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