Unofficial PyTorch implementation of Google AI's VoiceFilter system
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Updated
Sep 1, 2019 - Python
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source-separation
Here are 45 public repositories matching this topic...
Deep Convolutional Neural Networks for Musical Source Separation
theano
deep-learning
signal-processing
data-generation
convolutional-neural-networks
audio-synthesis
data-augmentation
source-separation
sample-querying
score-synthesis
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Updated
Jan 31, 2020 - Python
Deep Recurrent Neural Networks for Source Separation
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Jan 21, 2018 - MATLAB
ethman
commented
Sep 24, 2018
The examples on the EFZ page show the API as nussl.utils.download... etc, but they should be nussl.efz_utils.download....
Also the link to the documentation points to an old version of the docs.
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
pytorch
pit
source-separation
audio-separation
speech-separation
permutation-invariant-training
tasnet
conv-tasnet
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Updated
Apr 24, 2020 - Python
Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.
tensorflow
keras
resnet
residual-networks
inf
source-separation
tcn
speech-separation
noise-estimation
speech-enhancement
mmse
mmse-stsa
reslstm
robust-asr
deepxi
a-priori-snr-estimator
a-priori-snr-estimation
minimum-mean-square-error
mmse-lsa
deep-xi
deepmmse
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Updated
May 25, 2020 - Python
A neural network for end-to-end music source separation
machine-learning
deep-learning
neural-networks
wavenet
karaoke
audio-processing
source-separation
vocal-remover
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Updated
Jan 31, 2020 - Python
Deep learning based speech source separation using Pytorch
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Dec 16, 2019 - Python
The code for the MaD TwinNet. Demo page:
audio
deep-neural-networks
deep-learning
voice
pytorch
recurrent-neural-networks
wav
music-information-retrieval
deeplearning
autoencoders
audio-signal-processing
denoising-autoencoders
audio-processing
source-separation
music-signal-processing
music-source-separation
twin-networks
singing-voice
mad-twinnet
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Updated
Sep 7, 2019 - Python
Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF
source-separation
speech-separation
nmf-speech-enhancement
dnn-speech-enhancement
dnn-tf-masking
dnn-spectral-mapping
dnn-nmf
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Mar 29, 2019 - Python
Collection of EM algorithms for blind source separation of audio signals
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Feb 11, 2020 - Python
SEGAN pytorch implementation https://arxiv.org/abs/1703.09452
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Updated
Mar 11, 2019 - Python
This repository contains audio samples and supplementary materials accompanying publications related to the speaker-id team at Google.
speaker-recognition
speaker-verification
source-separation
speaker-diarization
speaker-identification
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Updated
May 1, 2020 - HTML
A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.
pytorch
pit
source-separation
audio-separation
speech-separation
permutation-invariant-training
tasnet
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Updated
Jan 27, 2019 - Python
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
tensorflow
adaptive-learning
deeplearning
multi-speaker
source-separation
audio-separation
speech-separation
deep-learning-architectures
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Jul 7, 2018 - Jupyter Notebook
target speaker extraction and verification for multi-talker speech
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Sep 26, 2019 - Python
Singing-Voice Separation From Monaural Recordings Using Deep Recurrent Neural Networks
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Jun 28, 2018 - Python
Sound augmentation using Large-scale audio dataset (Audioset)
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Nov 28, 2019 - Python
PyTorch code to separate instruments from music using a low-latency neural network
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Apr 1, 2019 - Python
pmelchior
commented
Dec 10, 2019
It would be good to use links in the documentation for classes (the first time they are used in each section) like we did in the old docs. It's a bit tedious to write but will save our users a lot of headaches.
Originally posted by @fred3m in https://github.com/_render_node/MDE3OlB1bGxSZXF1ZXN0UmV2aWV3MzI4NDU4NjU0/pull_request_reviews/more_threads
Control mechanisms to the U-Net architecture for doing multiple source separation instruments
deep-learning
music-information-retrieval
audio-signal-processing
source-separation
music-source-separation
ismir
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Feb 21, 2020 - Python
Audio source separation (mixture to vocal) using the Wavenet
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Sep 6, 2017 - Python
Keras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation
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May 4, 2018 - Python
A curated list of different papers and datasets in various areas of audio-visual processing
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Updated
Apr 3, 2020
Repository that gathers code for signal processing
machine-learning
signal-processing
pca
dimensionality-reduction
data-processing
nmf
source-separation
ica
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Updated
Dec 6, 2019 - Python
A Pytorch implementation of "Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation"
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Updated
Jul 3, 2019 - Python
NMF/NTF with Pytorch
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Updated
Mar 24, 2019 - Python
Repository for subjective and objective evaluation of source separation algorithms
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Updated
Apr 18, 2018 - Python
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Hi!
First, I would like to thank you for providing such a great tool for speaker separation research. I love it!
However, I have a slight suggestion. When using the recipes from your
egsdirectory, thebest_k_models.jsonfile gets written only after the whole training is finished. This way you cannot just stop your training earlier and go to the evaluation stage because the json file is ne