Use VITS and Opencpop to develop singing voice synthesis; Maybe it will VISinger.

Related tags

Deep LearningVITS_Singing
Overview

Init

Use VITS and Opencpop to develop singing voice synthesis; Maybe it will VISinger.

本项目基于

https://github.com/jaywalnut310/vits
https://github.com/SJTMusicTeam/Muskits/
https://wenet.org.cn/opencpop/ 歌声数据

使用muskit数据预处理，获得初步数据

cd egs/opencpop/svs1/
./local/data.sh

VISinger_data
--lable
--midi_dump
--wav_dump

采样率转换

python wave_16k.py
--wav_dump
--wav_dump_16k

使用muskit将数据处理成vits的格式

1, 将lable进行拆分
python muskit/data_label_single.py

label_dump,midi_dump,wav_dump:一个文件一个标注

注意：label和lable的混用（两个单词都是对的）

VISinger_data
--label_dump
--midi_dump
--wav_dump
--wav_dump_16k

2, 将label和midi处理为frame对应的发音单元和音符（基音）
python muskit/data_format_vits.py
VISinger_data
--label_vits
--label_dump
--midi_dump
--wav_dump
--wav_dump_16k

3, 生成VITS需要的files，并分割为train和dev，test不需要（可以手动设计）
python muskit/data_format_vits.py

vits_file.txt 中的内容格式：wave path|label path|pitch path;

cp vits_file.txt VISinger/filelists/
cd VISinger/

python preprocess.py 分割为train和dev

VITS训练

cd VISinger
CUDA_VISIBLE_DEVICES=0 python train.py -c configs/singing_base.json -m singing_base 2>exit_error.log;cat exit_error.log
python vsinging_infer.py

使用16K节约内存，方便模型修改

编辑midi，然后测试

cd ../;python muskit/infer_midi.py;cd -;python vsinging_edit.py

LOSS值 MEL谱

样例音频

vits_singing_样例.wav

You might also like...
In this project, we develop a face recognize platform based on MTCNN object-detection netcwork and FaceNet self-supervised network.
In this project, we develop a face recognize platform based on MTCNN object-detection netcwork and FaceNet self-supervised network.

模式识别大作业——人脸检测与识别平台 本项目是一个简易的人脸检测识别平台，提供了人脸信息录入和人脸识别的功能。前端采用 html+css+js，后端采用 pytorch，

Xuhua Huang 5 Aug 2, 2022
Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.

Big Vision This codebase is designed for training large-scale vision models on Cloud TPU VMs. It is based on Jax/Flax libraries, and uses tf.data and

Google Research 701 Jan 3, 2023
Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectrum sensing.

Deep-Learning-based-Spectrum-Sensing Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectru

null 10 Dec 14, 2022
Transfer style api - An API to use with Tranfer Style App, where you can use two image and transfer the style

Transfer Style API It's an API to use with Tranfer Style App, where you can use

Brian Alejandro 1 Feb 13, 2022
Voice of Pajlada with model and weights.

Pajlada TTS Stripped down version of ForwardTacotron (https://github.com/as-ideas/ForwardTacotron) with pretrained weights for Pajlada's (https://gith

null 6 Sep 3, 2021
A voice recognition assistant similar to amazon alexa, siri and google assistant.
A voice recognition assistant similar to amazon alexa, siri and google assistant.

kenyan-Siri Build an Artificial Assistant Full tutorial (video) To watch the tutorial, click on the image below Installation For windows users (run th

Alison Parker 3 Aug 19, 2022
An implementation of
An implementation of "Optimal Textures: Fast and Robust Texture Synthesis and Style Transfer through Optimal Transport"

Optex An implementation of Optimal Textures: Fast and Robust Texture Synthesis and Style Transfer through Optimal Transport for TU Delft CS4240. You c

Hans Brouwer 33 Jan 5, 2023
this is a lite easy to use virtual keyboard project for anyone to use
this is a lite easy to use virtual keyboard project for anyone to use

virtual_Keyboard this is a lite easy to use virtual keyboard project for anyone to use motivation I made this for this year's recruitment for RobEn AA

Mohamed Emad 3 Oct 23, 2021
A collection of easy-to-use, ready-to-use, interesting deep neural network models
A collection of easy-to-use, ready-to-use, interesting deep neural network models

Interesting and reproducible research works should be conserved. This repository wraps a collection of deep neural network models into a simple and un

Aria Ghora Prabono 16 Jun 16, 2022
Comments
  • couple of questions

    couple of questions

    Hello how are you ! very cool stuff you have here ,I can clearly see you love singing voice synthesis (SVS) from your forks and repos !! i wanted to ask is that a fully working Visingerr or is it a try from you to make it to sing , like can it be tested on a custom English data and have like results the same as or near the demo in the paper. Also do you have like other samples i can hear , i know that you tested it on opencpop that has almost 5.2 hours of singing data , and also in the paper they trained Visingerr for 600k iterations right ? how many iterations did you achieve on the opencpop to get the result linked below (vits_singing_样例.wav). to be honest i thought vits is data hungry like tacotron2 or fastspeech (aka needs a lot of data to get great results) , that opencpop result of your is so impressive for 5.2 hours data , i also wonder if you lowered the sample rate of opencpop from 44.1 KHz to 22KHz as i heard 44.1 KHz takes alot of time to train x10 the time needed.

    迫不及待地想知道你的消息 :)

    opened by dutchsing009 5
  • 问题

    问题

    python prepare/data_vits.py 输出 1,../VISinger_data/label_vits/XXX._label.npy|XXX_score.npy|XXX_pitch.npy|XXX_slurs.npy 2,filelists/vits_file.txt 内容格式：wave path|label path|score path|pitch path|slurs path;

    请问1 2这两步是怎么操作？

    opened by baipeng0110 3
  • 训练结果

    训练结果

    目前模型缺乏时长预测模型和基音预测模型； 训练语料中的句子修改歌词的效果；

    原歌词：雨淋湿了天空灰得更讲究

    https://user-images.githubusercontent.com/16432329/164953151-4c2513cb-f336-416b-8f04-604f13e63368.MP4

    修改歌词：你闹够了没有让我更难受

    https://user-images.githubusercontent.com/16432329/164953155-16c72670-cc89-40bc-99fe-42781c9dcdc0.MP4

    help wanted 
    opened by MaxMax2016 0
  • About release models and VISinger

    About release models and VISinger

    Hi

    This is a fantastic project that I have ever seen.

    Could you please share the released model? As on the inference step, it is said that "using the released model"

    Also, is there any plan to implement the VISinger model?

    Thank you!

    opened by shiyanpei0826 1
Owner
AmorTX
Speech
AmorTX
GitHub Repository
Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"

How Well Do Self-Supervised Models Transfer? This repository hosts the code for the experiments in the CVPR 2021 paper How Well Do Self-Supervised Mod

Linus Ericsson 157 Dec 16, 2022
A comprehensive list of published machine learning applications to cosmology

ml-in-cosmology This github attempts to maintain a comprehensive list of published machine learning applications to cosmology, organized by subject ma

George Stein 290 Dec 29, 2022
More than a hundred strange attractors

dysts Analyze more than a hundred chaotic systems. Basic Usage Import a model and run a simulation with default initial conditions and parameter value

William Gilpin 185 Dec 23, 2022
Bringing Computer Vision and Flutter together , to build an awesome app !!

Bringing Computer Vision and Flutter together , to build an awesome app !! Explore the Directories Flutter · Machine Learning Table of Contents About

Padmanabha Banerjee 14 Apr 07, 2022
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

Project This repo has been populated by an initial template to help get you started. Please make sure to update the content to build a great experienc

Microsoft 674 Dec 26, 2022
Code repository for the paper Computer Vision User Entity Behavior Analytics

Computer Vision User Entity Behavior Analytics Code repository for "Computer Vision User Entity Behavior Analytics" Code Description dataset.csv As di

Sameer Khanna 2 Aug 20, 2022
A Next Generation ConvNet by FaceBookResearch Implementation in PyTorch(Original) and TensorFlow.

ConvNeXt A Next Generation ConvNet by FaceBookResearch Implementation in PyTorch(Original) and TensorFlow. A FacebookResearch Implementation on A Conv

Raghvender 2 Feb 14, 2022
💡 Type hints for Numpy

Type hints with dynamic checks for Numpy! (❒) Installation pip install nptyping (❒) Usage (❒) NDArray nptyping.NDArray lets you define the shape and

Ramon Hagenaars 377 Dec 28, 2022
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Monk - A computer vision toolkit for everyone Why use Monk Issue: Want to begin learning computer vision Solution: Start with Monk's hands-on study ro

Tessellate Imaging 507 Dec 04, 2022
Controlling the MicriSpotAI robot from scratch

Abstract: The SpotMicroAI project is designed to be a low cost, easily built quadruped robot. The design is roughly based off of Boston Dynamics quadr

Florian Wilk 405 Jan 05, 2023
NeurIPS 2021, self-supervised 6D pose on category level

SE(3)-eSCOPE video | paper | website Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation Xiaolong Li, Yijia Weng,

Xiaolong 63 Nov 22, 2022
⚡ H2G-Net for Semantic Segmentation of Histopathological Images

H2G-Net This repository contains the code relevant for the proposed design H2G-Net, which was introduced in the manuscript "Hybrid guiding: A multi-re

André Pedersen 8 Nov 24, 2022
Ray tracing of a Schwarzschild black hole written entirely in TensorFlow.

TensorGeodesic Ray tracing of a Schwarzschild black hole written entirely in TensorFlow. Dependencies: Python 3 TensorFlow 2.x numpy matplotlib About

5 Jan 15, 2022
deep_image_prior_extension

Code for "Is Deep Image Prior in Need of a Good Education?" Project page: https://jleuschn.github.io/docs.educated_deep_image_prior/. Supplementary Ma

riccardo barbano 7 Jan 09, 2022
Official code for "End-to-End Optimization of Scene Layout" -- including VAE, Diff Render, SPADE for colorization (CVPR 2020 Oral)

End-to-End Optimization of Scene Layout Code release for: End-to-End Optimization of Scene Layout CVPR 2020 (Oral) Project site, Bibtex For help conta

Andrew Luo 41 Dec 09, 2022
PyTorch implementation of the paper: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features

Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Estimate the noise transition matrix with f-mutual information. This co

<a href=[email protected]"> 1 Jun 05, 2022
Finding Donors for CharityML

Finding-Donors-for-CharityML - Investigated factors that affect the likelihood of charity donations being made based on real census data.

Moamen Abdelkawy 1 Dec 30, 2021
[3DV 2020] PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction

PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction International Conference on 3D Vision, 2020 Sai Sagar Jinka1, Rohan

Rohan Chacko 39 Oct 12, 2022
Research code for Arxiv paper "Camera Motion Agnostic 3D Human Pose Estimation"

GMR(Camera Motion Agnostic 3D Human Pose Estimation) This repo provides the source code of our arXiv paper: Seong Hyun Kim, Sunwon Jeong, Sungbum Park

Seong Hyun Kim 1 Feb 07, 2022
2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案

2020CCF-NER 2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案 bert base + flat + crf + fgm + swa + pu learning策略 + clue数据集 = test1单模0.906 词向量

67 Oct 19, 2022