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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Voice Conversion Tool Kit
| Date | Stars |
|---|---|
| 2026-07-24 | 608 |
| 2026-07-25 | 608 |
| 2026-07-28 | 608 |
| 2026-07-30 | 608 |
| 2026-08-06 | 608 |
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[](https://img.shields.io/badge/Python-3.5%2C%203.6%2C%203.7-green.svg) [](https://www.travis-ci.org/k2kobayashi/sprocket) [](https://coveralls.io/github/k2kobayashi/sprocket?branch=master) [](https://badge.fury.io/py/sprocket-vc) [](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]](https://nuss.nagoya-u.ac.jp/s/h8YKnq6qxjjxtU3) - T. Toda, "Hands on Voice Conversion," Speech Processing Courses in Crete (SPCC), July 2018. [[slide]](https://www.slideshare.net/NU_I_TODALAB/hands-on-voice-conversion) ## Conversion samples - Voice Conversion Challenge 2018 - [HUB Task](https://nuss.nagoya-u.ac.jp/s/3F8dxTcdQdXir9s) - [SPOKE Task](https://nuss.nagoya-u.ac.jp/s/ixwxa6DxYa68y4N) ## 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 ``` pip install numpy==1.15.4 cython # for dependency pip install sprocket-vc ``` ### Run example See [VC example](docs/vc_example.md) ## REPORTING BUGS For any questions or issues please visit: ``` https://github.com/k2kobayashi/sprocket/issues ``` ## COPYRIGHT Copyright (c) 2020 Kazuhiro KOBAYASHI Released under the MIT license [https://opensource.org/licenses/mit-license.php](https://opensource.org/licenses/mit-license.php) ## ACKNOWLEDGEMENTS Thank you [@r9y9](https://github.com/r9y9) and [@tats-u](https://github.com/tats-u) for lots of contributions and encouragement helps before release. ## Who we are - Kazuhiro Kobayashi [@k2kobayashi](https://github.com/k2kobayashi) [maintainer, design and development] - [Tomoki Toda](https://sites.google.com/site/tomokitoda/) [advisor]
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c18b7a80fe7d6f20, topic:speech-synthesis