spleeter_dynamic_library

基于spleeter C++编译现有的动态库可执行文件实现音乐人声伴奏分离过程。当然，在保证相关文件路径都存放正确位置的前提下，也可以自行编译完成后进行调用，目前根据 @jinay1991 提供的巧妙编译方法，我已复现了所需的编译环节，感谢以上源码作者的贡献。

The method and environment configuration source @jinay1991 for compiling the spleeter C++ algorithm in this demo.

Thanks for the help given by @jinay1991, his answer made me solve the current PC side (the problem of the UBUNTU platform).

Spleeter C++算法函数接口逻辑流程文档:spleeter/doc

使用方法

0、环境配置与编译

使用作者环境在docker+ubuntu：docker pull registry.gitlab.com/jinay1991/spleeter

root@docker-desktop:/data/spleeter/spleeter_dynamic_library/bin# cat /etc/issue
Ubuntu 20.04.4 LTS \n \l

本人在Ubuntu20.04配置的C++ spleeter 环境：ckck2021/spleeter_cc

docker pull ckck2021/spleeter_cc:ubuntu20.04

如果不使用作者环境和以上我配置好的环境，则需要重新配置，这里我展示在ubuntu18.04系统下配置的流程：

Ubuntu 18.04

To setup developer environment, the project requires following packages.

apt-get update --fix-missing
sed -i 's/archive.ubuntu.com/mirrors.aliyun.com/g' /etc/apt/sources.list && \
sed -i 's/security.ubuntu.com/mirrors.aliyun.com/g' /etc/apt/sources.list       
apt-get update --fix-missing

# Installation of general dependencies
apt-get install -y build-essential clang-format clang-tidy clang git git-lfs wget curl gnupg openjdk-11-jdk openjdk-11-jre lcov

# Installation of FFMPEG

apt-get install -y libavcodec-dev libavformat-dev libavfilter-dev libavdevice-dev libswresample-dev libswscale-dev ffmpeg

Build System

This project uses bazel build system. To install, run following command or find documentation for installation on office site here.

For Linux/macOS systems,

# Installation
curl -fsSL https://bazel.build/bazel-release.pub.gpg | gpg --dearmor > bazel.gpg
mv bazel.gpg /etc/apt/trusted.gpg.d/
echo "deb [arch=amd64] https://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list

#
apt-get update && apt-get install -y bazel

# 报错记录error
#The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 3D5919B448457EE0 E: The repository 'https://storage.googleapis.com/bazel-apt stable InRelease' is not signed.

# 解决方法solv: apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 3D5919B448457EE0
reinstall: apt-get update && apt-get install -y bazel

# 查看安装版本
bazel version
Build label: 5.1.1
Build target: bazel-out/k8-opt/bin/src/main/java/com/google/devtools/build/lib/bazel/BazelServer_deploy.jar
Build time: Fri Apr 8 15:49:48 2022 (1649432988)
Build timestamp: 1649432988
Build timestamp as int: 1649432988


# Command Completion
echo "source /etc/bash_completion.d/bazel" >> ~/.bashrc

# Autoformat
wget https://github.com/bazelbuild/buildtools/releases/download/3.5.0/buildifier
chmod +x buildifier
mv buildifier /usr/bin

# 构建
git clone https://github.com/jinay1991/spleeter.git

当前在ubuntu18.04编译报错成功解决

The current issue is resolved.

ERROR: Could not open 'external/models/5stems/5stems.tflite'.
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0418 09:15:07.654577 85700 tflite_inference_engine.cpp:70] Check failed: model_ Failed to read model external/models/5stems/5stems.tflite
*** Check failure stack trace: ***
Aborted (core dumped)

成功编译上述过程文档：build_run_test.md

1、获取code

先git clone 本目录或到https://github.com/jinay1991

2、下载模型

下载地址：https://github.com/jinay1991/spleeter/releases/tag/v2.3
存放路径：spleeter_dynamic_library\bin\external\models

3、推理过程

cd 到/data/spleeter/spleeter_dynamic_library/bin 执行./spleeter即可完成推理，最终会在当前目录下生成路径spleeter_dynamic_library\bin\external\audio_example\file下事先准备好的audio_example.wav音频文件。由于是已经生成的可执行文件，想要处理其他音频文件，需要将新拿来的音频文件文件名修改为audio_example.wav替换原有的音频文件即可。

附件

备注：如果你没有使用作者提供的开发环境，而是自己编译成功的情况下，那么下面的操作就无需关注。

关于libavcodec.so.57的完美解决方法：无动态库libavcodec.so.57等等方法（如果本机能搜索到的话）

解决连接：https://github.com/KangChou/deepcv_project_demo/tree/main/dynamic_library

libtensorflow_cc.so获取链接：https://pan.baidu.com/s/1egEIVAGKCzcfP_xtYIEiQg 提取码：6eca

Reference

参考spleeter c++ code:https://github.com/jinay1991/spleeter

Deezer Research - Source Separation Engine Story - deezer.io blog post:
- English version
- Japanese version
Music Source Separation tool with pre-trained models / ISMIR2019 extended abstract

If you use Spleeter in your work, please cite:

@misc{spleeter2019,
  title={Spleeter: A Fast And State-of-the Art Music Source Separation Tool With Pre-trained Models},
  author={Romain Hennequin and Anis Khlif and Felix Voituret and Manuel Moussallam},
  howpublished={Late-Breaking/Demo ISMIR 2019},
  month={November},
  note={Deezer Research},
  year={2019}
}

Converted official checkpoint to TFLite Model using https://github.com/tinoucas/spleeter-tflite-convert

License

The code of Spleeter is MIT-licensed.

Disclaimer

If you plan to use Spleeter on copyrighted material, make sure you get proper authorization from right owners beforehand.

Note

This repository include a demo audio file audio_example.mp3 which is an excerpt from

Slow Motion Dream by Steven M Bryant
Copyright (c) 2011 Licensed under a Creative Commons Attribution (3.0) license.

http://dig.ccmixter.org/files/stevieb357/34740
Ft: CSoul Alex Beroza & Robert Siek"

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