A suite of speech signal processing tools
Analysis of Phonocardiogram signals using Empirical Mode Decomposition and Higher Order Statistics. This project was part of the course Advanced Signal Processing Techniques (ECE Department, AUTH, 8th semester).
[WIP] Interactive GUI tool for analysing audio spectra based on Constant-Q Sliding DFT
SASP project: FDN reverb & cepstrum-based dereverb.
Homework assignments for Advanced Signal Processing Course / Aristotle University of Thessaloniki / Summer Semester 2021
Homework assignments for advanced signal processing course, Auth spring semester 20-21
Εxercises for Advanced Signal Processing Methods course in Faculty of Engineering of Aristotle's University of Thessaloniki
Compare graphs of detected Fundamental Frequency contours: Praat vs MATLAB. Used Cepstrum in MATLAB to detect Fundamental Frequency (Pitch) in speech.
These projects were part of the course Advanced Signal Processing Techniques (ECE Department, AUTH, 8th semester).
Implementation of Pitch Detection algorithms with Matlab
📚 Выпускная квалификационная работа бакалавра и соответствующая научно-исследовательская работа по специальности "Программная инженерия", МГТУ им. Н.Э. Баумана.
MATLAB code for audio signal processing, emphasizing Real Cepstrum and MFCC feature extraction. Reads a wave file, applies Hamming and Rectangular windows, then computes Real Cepstrum. Utilizes MATLAB's built-in functions for extracting MFCC features. Perfect for audio analysis and feature engineering.
A unimodal person authentication system based on signing sound
This description will one day recognize you as you read this :D #SpeakerRecognition
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