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Vq Vae SpeechPyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]
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SeriesnetTime series prediction using dilated causal convolutional neural nets (temporal CNN)
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Tacotron 2DeepMind's Tacotron-2 Tensorflow implementation
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Fast WavenetSpeedy Wavenet generation using dynamic programming ⚡
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Numpy MlMachine learning, in numpy
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WavenetWaveNet implementation with chainer
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Tacotron2pytorch tacotron2 https://arxiv.org/pdf/1712.05884.pdf
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Vq Vae WavenetTensorFlow implementation of VQ-VAE with WaveNet decoder, based on https://arxiv.org/abs/1711.00937 and https://arxiv.org/abs/1901.08810
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Wavenet SttAn end-to-end speech recognition system with Wavenet. Built using C++ and python.
Stars: ✭ 18 (-10%)
ParallelwaveganUnofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch
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FlowavenetA Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"
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PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
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Time Series PredictionA collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
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ClarinetA Pytorch Implementation of ClariNet
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hifigan-denoiserHiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
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ttslearnttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)
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chainer-Fast-WaveNetA Chainer implementation of Fast WaveNet(mel-spectrogram vocoder).
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QPPWGQuasi-Periodic Parallel WaveGAN Pytorch implementation
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Music-Style-TransferSource code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"
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cunetControl mechanisms to the U-Net architecture for doing multiple source separation instruments
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TasNetA PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.
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AMSS-NetA PyTorch implementation of the paper: "AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries" (ACM Multimedia 2021)
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DeepSeparationKeras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation
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speaker extractiontarget speaker extraction and verification for multi-talker speech
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soundscape IRTools of soundscape information retrieval, this repository is a developing project. Please go to https://github.com/meil-brcas-org/soundscape_IR for full releases.
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