Alternatives and similar repositories for Voice-Denoising-AN

Users that are interested in Voice-Denoising-AN are comparing it to the libraries listed below

• azraelkuan / FFTNet
  FFTNet: a Real-Time Speaker-Dependent Neural Vocoder
  ☆64Updated 6 years ago
• fatchord / FFTNet
  Pytorch Implementation of FFTNet
  ☆86Updated 6 years ago
• adityatb / noise-reduction-using-rnn
  Implements python programs to train and test a Recurrent Neural Network with Tensorflow
  ☆72Updated 5 years ago
• mosheman5 / DNP
  Audio Denoising with Deep Network Priors
  ☆162Updated 4 years ago
• Kyubyong / expressive_tacotron
  Tensorflow Implementation of Expressive Tacotron
  ☆196Updated 6 years ago
• twidddj / tf-wavenet_vocoder
  Wavenet and its applications with Tensorflow
  ☆55Updated 6 years ago
• candlewill / Griffin_lim
  A TensorFlow implementation of Griffin-Lim algorithm
  ☆78Updated 7 years ago
• aparwal / DeepSeparation
  Keras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation
  ☆19Updated 7 years ago
• sekiguchi92 / SoundSourceSeparation
  The code for multi-channel source separation and dereverberation such as FastMNMF1, FastMNMF2, and AR-FastMNMF2.
  ☆197Updated 2 years ago
• gauravtendolkar / tacotron-2-explained
  Walk through insanely commented code for an advanced recurrent model in TensorFlow
  ☆48Updated 6 years ago
• cyrta / awesome-speech-enhancement
  A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.
  ☆67Updated 5 years ago
• Totoketchup / Adaptive-MultiSpeaker-Separation
  Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
  ☆51Updated 6 years ago
• craigmacartney / Wave-U-Net-For-Speech-Enhancement
  Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemente…
  ☆219Updated 2 years ago
• AppleHolic / pytorch_sound
  Sound Related Deep Learning Tasks boosting repository with pytorch
  ☆87Updated 9 months ago
• bkvogel / griffin_lim
  Implementation of the Griffin and Lim algorithm to recover an audio signal from a magnitude-only spectrogram.
  ☆175Updated 7 years ago
• bfs18 / nsynth_wavenet
  parallel wavenet based on nsynth
  ☆107Updated 6 years ago
• hirofumi0810 / asr_preprocessing
  Python implementation of pre-processing for End-to-End speech recognition
  ☆69Updated 7 years ago
• funcwj / deep-clustering
  deep clustering method for single-channel speech separation
  ☆109Updated 2 years ago
• ksw0306 / WaveVAE
  A Pytorch implementation of WaveVAE ("Parallel Neural Text-to-Speech")
  ☆125Updated last year
• erogol / FFTNet
  FFTNet vocoder implementation
  ☆81Updated 6 years ago
• geneing / WaveRNN-Pytorch
  Fatcord's Alternative WaveRNN (Faster training)
  ☆132Updated 4 years ago
• tuan3w / cnn_vocoder
  A fast cnn-based vocoder
  ☆78Updated 4 years ago
• Tony607 / tf_audio_signal
  How to run GPU accelerated Signal Processing in TensorFlow
  ☆23Updated 6 years ago
• francoisgermain / SpeechDenoisingWithDeepFeatureLosses
  Speech Denoising with Deep Feature Losses
  ☆186Updated 4 years ago
• Jonathan-LeRoux / lws
  Fast spectrogram phase recovery using Local Weighted Sums (C/Python/Matlab)
  ☆116Updated last year
• jaideeppatel / Training-Targets-for-Speech-Separation-Neural-Networks
  This is a project on working/resolving the speech separation problem using supervised learning on various training targets, building mach…
  ☆34Updated 7 years ago
• sigsep / sigsep-mus-oracle
  ☆37Updated 6 years ago
• SConsul / audio-source-separation
  PyTorch code to separate instruments from music using a low-latency neural network
  ☆45Updated 6 years ago
• jordipons / neural-classifiers-with-few-audio
  Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274
  ☆60Updated 6 years ago
• paarthneekhara / advoc
  Vocode spectrograms to audio with generative adversarial networks
  ☆63Updated 5 years ago