时空索引>> sprocket>> 返回
项目作者： k2kobayashi

项目描述 ：
Voice Conversion Tool Kit
高级语言： Python
项目地址: git://github.com/k2kobayashi/sprocket.git
创建时间： 2017-06-21T05:50:47Z
项目社区：https://github.com/k2kobayashi/sprocket
开源协议：MIT License
下载


Python Version
Build Status
Coverage Status
PyPI version
MIT License

sprocket

Voice conversion software - Voice conversion (VC) is a technique to convert a speaker identity of a source speaker into that of a target speaker. This software enables the users to develop a traditional VC system based on a Gaussian mixture model (GMM) and a vocoder-free VC system based on a differential GMM (DIFFGMM) using a parallel dataset of the source and target speakers.

Paper and slide

  • K. Kobayashi, T. Toda, “sprocket: Open-Source Voice Conversion Software,” Proc. Odyssey, pp. 203-210, June 2018.
    [paper]

  • T. Toda, “Hands on Voice Conversion,” Speech Processing Courses in Crete (SPCC), July 2018.
    [slide]

Conversion samples

Purpose

Reproduce the typical VC systems

This software was developed to make it possible for the users to easily build the VC systems by only preparing a parallel dataset of the desired source and target speakers and executing example scripts.
The following VC methods were implemented as the typical VC methods.

Traditional VC method based on GMM

  • T. Toda, A.W. Black, K. Tokuda, “Voice conversion based on maximum likelihood estimation of spectral parameter trajectory,” IEEE Transactions on Audio, Speech and Language Processing, Vol. 15, No. 8, pp. 2222-2235, Nov. 2007.

Vocoder-free VC method based on DIFFGMM

  • K. Kobayashi, T. Toda, S. Nakamura, “F0 transformation techniques for statistical voice conversion with direct waveform modification with spectral differential,” Proc. IEEE SLT, pp. 693-700, Dec. 2016.

Supply Python3 VC library

To make it possible to easily develop VC-based applications using Python (Python3), the VC library is also supplied, including several interfaces, such as acoustic feature analysis/synthesis, acoustic feature modeling, acoustic feature conversion, and waveform modification.
For the details of the VC library, please see sprocket documents in (coming soon).

Installation & Run

Please use Python3.

Current stable version

Ver. 0.18.4

Install sprocket

  1. pip install numpy==1.15.4 cython  # for dependency
  2. pip install sprocket-vc

Run example

See VC example

REPORTING BUGS

For any questions or issues please visit:

  1. https://github.com/k2kobayashi/sprocket/issues

Copyright (c) 2020 Kazuhiro KOBAYASHI

Released under the MIT license

https://opensource.org/licenses/mit-license.php

ACKNOWLEDGEMENTS

Thank you @r9y9 and @tats-u for lots of contributions and encouragement helps before release.

Who we are