There are 1 repository under spectogram topic.
Analyze spectrograms created by rtl_power
deep_video_extraction is a powerful repository designed to extract deep feature representations from video inputs using pre-trained models. With support for both visual and aural features from videos. Additionally, you can process audio separately by converting it into spectrograms.
A Node-RED node for running an impulse created by the Edge Impulse development platform.
Southern African Bird Call Audio Identification Challenge
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.
🌎 This repository contains unsupervised analysis of seismic data using Kmeans and Deep Embedded Clustering to identify different types of signals recorded in Seismograph 🕸️
Building a speaker identification & verification pipeline for Vietnamese voices :sleepy:
Snippets from learning tensorflow for audio data and models.
A CNN model trained using spectrograms of urban sounds
Análise espectral dos dados de vibração de um compressor.
Introduction to Digital Signal Processing for Machine Learning
Trigger word detection application using Keras, which triggers an action whenever you say the trigger word "Activate". The action in this case is producing a "chiming" sound.
This project utilizes the spectograms generated from the ECG data of the patients to detemine the level of hypertension suffered by the person.
Recognizes the "Rrrring" sound of my doorbell using Node-RED & Edge Impulse and posts a message on my slack channel.
Implementation of the paper A Spiking Network that Learns to Extract Spike Signatures from Speech Signals
desktop application utilizes voice fingerprint and spectrogram technology to identify individuals based on their unique vocal characteristics.
Simple recording app that saves recordings as matrices containing time-frequency data