Youtube Audio Downloader and Separator
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Updated
Sep 6, 2023 - Jupyter Notebook
Youtube Audio Downloader and Separator
Clojure bindings for PyTorch implementation of Open-Unmix
Deezer source separation library including pretrained models.
OpenVINO DevCUP music aeparation & transcription
Download multiple tracks from youtube by a single query - with GUI.
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.
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
A convolutional neural network for blind audio source separation.
Code and datasets for 'Move2Hear: Active Audio-Visual Source Separation' (ICCV 2021)
Software that performs the separation of vocals from music using neural networks (part of my Bachelor's thesis).
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.
A PyTorch implementation of DNN-based source separation.
Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
Deep Recurrent Neural Networks for Source Separation
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Unofficial PyTorch implementation of Google AI's VoiceFilter system
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