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We propose to combine a vector quantized variational autoencoder (VQVAE) and discrete diffusion models for the generation of symbolic music with desired composer styles. The trained VQ-VAE can represent symbolic music as a sequence of indexes that correspond to specific entries in a learned codebook...
Minimalist implementation of VQ-VAE in Pytorch. Contribute to nadavbh12/VQ-VAE development by creating an account on GitHub.
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937) - MishaLaskin/vqvae
https://colab.research.google.com/github/zalandoresearch/pytorch-vq-vae/blob/master/vq-vae.ipynb#scrollTo=JscoOyZ3ddge 最后论文: ArXiv. /abs/1711.00937 编辑:于腾凯 校对:林亦霖 关于我们 数据派THU作为数据科学类公众号,背靠清华大...
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Voice swapping with VQ-VAE and diffusion models. Contribute to unixpickle/vq-voice-swap development by creating an account on GitHub.
git clone https://github.com/JeremyCCHsu/vqvae-speech.git cd vqvae-speech mkdir dataset cd dataset wget http://homepages.inf.ed.ac.uk/jyamagis/release/VCTK-Corpus.tar.gz tar -zxvf VCTK-Corpus.tar.gz mv VCTK-Corpus VCTK cd .. # # Ignore these 2 lines if you already use your env...
File metadata and controls Code Blame executable file· 68 lines (49 loc) · 1.92 KB Raw import argparse import pickle import torch from torch.utils.data import DataLoader from torchvision import transforms import lmdb from tqdm import tqdm from dataset import ImageFileDataset, CodeRow from vqva...
INTERSPEECH. 2019. van den Oord, Aaron, and Oriol Vinyals. "Neural discrete representation learning." Advances in Neural Information Processing Systems. 2017.About VQ-VAE for Acoustic Unit Discovery and Voice Conversion bshall.github.io/ZeroSpeech/ Topics pytorch speech-synthesis voice-conversion ...