Showing 1-9 of 9 projects
GUI for vocal removal using deep learning models
An open-source library for hybrid spectrogram and waveform source separation, useful for audio processing tasks.
A comprehensive library for audio and music analysis, feature extraction, and deep learning applications.
A deep learning-based tool for separating vocals from audio signals, useful for music production and audio processing.
Audio Spectrogram Transformer (AST) for audio classification and representation learning tasks.
This project provides advanced voiceprint recognition models and data preprocessing methods using PyTorch.
A PyTorch-based audio processing library for spectrograms, CQT, and neural network-based preprocessing.
A Python library for real-time audio visualization, including spectrum, spectrogram, and more.
A GAN-based Mel-Spectrogram Inversion Network for high-quality text-to-speech synthesis.
Get weekly updates on trending AI coding tools and projects.