Youtube Audio Downloader and Separator
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Updated
Sep 6, 2023 - Jupyter Notebook
Youtube Audio Downloader and Separator
OpenVINO DevCUP music aeparation & transcription
Clojure bindings for PyTorch implementation of Open-Unmix
eCMU: An Efficient Phase-aware Framework for Music Source Separation with Conformer (IEEE RIVF23)
An exploration of blind source audio separation using spiking neural networks. Latency, power. and intelligibility are primary objectives while bio-plausibility is left as a secondary objective to be addressed in the future.
The ufficial model "Audio Sep" (Separate Anything You Describe) take by Huggin Face
Deezer source separation library including pretrained models.
Code and datasets for 'Move2Hear: Active Audio-Visual Source Separation' (ICCV 2021)
This repo contains implementations of key unsupervised learning techniques, including image compression (K-means, GMM), PCA for Eigenfaces, ICA for audio separation, and CVAE for MNIST generation. It's a resource for understanding and applying foundational algorithms.
Spleeter separator - a simple Python app for separating audio, using the spleeter library.
Builds docker image and deploys on GCP to avoid M1 chip problems
Download multiple tracks from youtube by a single query - with GUI.
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
Software that performs the separation of vocals from music using neural networks (part of my Bachelor's thesis).
A convolutional neural network for blind audio source separation.
Ultimate Vocal Remover for Google Colab
Real time multilingual face translator
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
An implementation of audio source separation tools.
A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.
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