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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.
Code for parametrization of spectogram into aperiodic and periodic components, and for the definition of oscillatory bands according to the periodic component
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.
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.