Established a STFT CNN model to predict the Participant’s Apnea Stage
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Updated
Aug 23, 2022 - Jupyter Notebook
Established a STFT CNN model to predict the Participant’s Apnea Stage
Digital Signal processing Algorithms for Harmonics & Transients Simulation and Analysis
NTUA ECE Digital Signal Processing Source Codes
PUBLIC | FCTUC DEI/LEI 2021/2022 - Licenciatura em Engenharia Informática | ATD - Análise e Transformação de Dados | PLs / Exercícios: Análise de Séries Temporais, Sistemas Lineares, Transformadas de Fourier (FS, FT, DTFT, DFT), Análise Tempo-Frequência (STFT)
Neureka 2020 competition for seizure detection - 4th Place Overall!
📶 NTUA ECE Digital Signal Processing Course Source Codes and Reports
PUBLIC | FCTUC DEI/LEI 2021/2022 - Licenciatura em Engenharia Informática | ATD - Análise e Transformação de Dados | Projeto: "Smartphone-based Recognition Of Human Activities And Postural Transitions"
On-the-fly spectrogram generation
Extraction of audio features for analysis.
Acceleration Frequency Analyzer
The code computes the STFT of the audio signal using overlapping windows, and various features can be extracted from the resulting STFT matrix, which can then be used to train a machine learning model, such as an SVM, to classify the emotional state of the speaker.
Spectrum creation is the most important thing while dealing with audio data
An app that resynthesises musical instrument sounds based on the STFT analysis and additive synthesis based on a sinusoidal model.
This is a personal project implementing Convolutional Neural Networks (CNNs) and Variational Autoencoder (VAE) for sound generations
A machine learning task to classify audio events
computes the short-time fourier transform on streaming data. written in rust.
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