GUI for a Vocal Remover that uses Deep Neural Networks.
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Updated
May 23, 2024 - Python
GUI for a Vocal Remover that uses Deep Neural Networks.
A library for audio and music analysis, feature extraction.
Vocal Remover using Deep Neural Networks
Audio processing by using pytorch 1D convolution network
Real-time audio visualizations (spectrum, spectrogram, etc.)
kapre: Keras Audio Preprocessors
🎶 Real-time audio spectrogram generator for the web
Music recommender using deep learning with Keras and TensorFlow
UrbanSound classification using Convolutional Recurrent Networks in PyTorch
Filter design, periodograms, window functions, and other digital signal processing functionality
A .NET Standard library for computing the Fast Fourier Transform (FFT) of real or complex data
.NET library for creating spectrograms (visual representations of frequency spectrum over time)
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
Encode an image to sound and view it as a spectrogram - turn your images into music
Turn an image into sound whose spectrogram looks like the image.
Audio spectrogram in canvas.
This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.
mpv lua scripts
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
Turn images into sounds viewable on a spectrogram!
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