GUI for a Vocal Remover that uses Deep Neural Networks.
-
Updated
May 23, 2024 - Python
GUI for a Vocal Remover that uses Deep Neural Networks.
Vocal Remover using Deep Neural Networks
Real-time audio visualizations (spectrum, spectrogram, etc.)
kapre: Keras Audio Preprocessors
Music recommender using deep learning with Keras and TensorFlow
Filter design, periodograms, window functions, and other digital signal processing functionality
A library for audio and music analysis, feature extraction.
Audio processing by using pytorch 1D convolution network
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
UrbanSound classification using Convolutional Recurrent Networks in PyTorch
.NET library for creating spectrograms (visual representations of frequency spectrum over time)
Encode an image to sound and view it as a spectrogram - turn your images into music
Sound-based Bird Classification - using AI, acoustics and ornithology to classify birds in the environment, an environmental awareness project (Web Application, Flask, Python)
A .NET Standard library for computing the Fast Fourier Transform (FFT) of real or complex data
Audio spectrogram in canvas.
Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data
This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.
Recommending Music using a Convolutional Neural Network.
Turn an image into sound whose spectrogram looks like the image.
Source code complementing our paper for acoustic event classification using convolutional neural networks.
Add a description, image, and links to the spectrogram topic page so that developers can more easily learn about it.
To associate your repository with the spectrogram topic, visit your repo's landing page and select "manage topics."