Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients
-
Updated
Feb 21, 2021 - Jupyter Notebook
Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients
Genre Classification using Convolutional Neural Networks
HackOnHills project : Pronuncuation correction game which takes in voice input of the pronunciation of words from the user and compares it with the correct pronunciation of the word.
Three in one. capture audio with mobile mic and then play, play songs from internal download directly, displaying spectogram (frequency) of an audio in Flutter.
An implementation of trigger word detection using keras, for detecting digits spoken in an audio
Project for the Signal Processing course @acs, UPB 2021
Bronze medal solution for the kaggle competition HMS-Harmful Brain Activity Classification
Developed a deep learning system to identify and isolate human voice from single waveform audio signals. Leveraging neural networks for sound source separation, this project filters background noise and non-human sounds, enhancing clarity in real-time audio processing.
Utility to create audio captchas using gTTS and decode it to text
Add a description, image, and links to the spectograms topic page so that developers can more easily learn about it.
To associate your repository with the spectograms topic, visit your repo's landing page and select "manage topics."