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Ewald Enzinger's Projects

vqvae icon vqvae

Tensorflow implementation of VQVAE for voice conversion

vqvae-speech icon vqvae-speech

Tensorflow implementation of the speech model described in Neural Discrete Representation Learning (a.k.a. VQ-VAE)

vqvc-pytorch icon vqvc-pytorch

An unofficial implementation of Vector Quantization Voice Conversion (VQVC).

w2v2-speaker icon w2v2-speaker

Research code for the paper "Fine-tuning wav2vec2 for speaker recognition" found at https://arxiv.org/abs/2109.15053

w2v2-vad icon w2v2-vad

A wrapper for Audeering's wav2vec-based dimensional speech emotion recognition

wadain-vc icon wadain-vc

Official implementation of "One-Shot Voice Conversion with Weight Adaptive Instance Normalization".

waldo icon waldo

image-segmentation and text-localization

warp-ctc-crf icon warp-ctc-crf

An extension of thu-spmi/CAT which contains a full-fledged implementation of CTC-CRF for Tensorflow.

wase icon wase

PyTorch implementation of WASE described in our ICASSP 2021: "Wase: Learning When to Attend for Speaker Extraction in Cocktail Party Environments"

wav2letter icon wav2letter

Facebook AI Research Automatic Speech Recognition Toolkit

wav2train icon wav2train

automatically align transcribed audio and generate a wav2letter training corpus

wave-u-net icon wave-u-net

Implementation of the Wave-U-Net for audio source separation

waveflow icon waveflow

A PyTorch implementation of a paper "WaveFlow: A Compact Flow-based Model for Raw Audio"

waveflow-1 icon waveflow-1

WaveFlow : A Compact Flow-based Model for Raw Audio

wavegan icon wavegan

WaveGAN: using GANs to synthesize raw audio

waveglow icon waveglow

A Flow-based Generative Network for Speech Synthesis

waveglow-2 icon waveglow-2

A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis

waveglow-3 icon waveglow-3

A tensorflow implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis

wavegrad icon wavegrad

Implementation of Google Brain's WaveGrad vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.

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