GUI for a Vocal Remover that uses Deep Neural Networks.

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

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

.NET library for creating spectrograms (visual representations of frequency spectrum over time)

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Turn an image into sound whose spectrogram looks like the image.

The BEST music separation model with help of A.I. ... to my ears ! 👂👂

API for a Vocal Remover that uses Deep Neural Networks.

Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data

🔥 Modular shader engine designed for simplicity and speed

Final Year Project for Speech Separation

An SDR-agnostic program for recording radio signals and spectrograms (waterfall displays).

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Recommending Music using a Convolutional Neural Network.

A simple audio feature extraction library

Source code complementing our paper for acoustic event classification using convolutional neural networks.

ComfyUI node for AudioSR - Versatile Audio Super Resolution upscales audio to 48kHz using latent diffusion