This repository is maintained by the Speech Team at Alibaba’s Tongyi Lab, serving as an open-source platform for our cutting-edge research in speech, audio, NLP technologies. We believe in accelerating scientific progress through transparent collaboration, and invite the global research community to explore, reproduce, and build upon our work.
54
stars
54
commits
Python
primary language
Sep 8, 2026
updated
Welcome to Fun Research! This repository is maintained by the Speech Team at Alibaba's Tongyi Lab, serving as an open-source platform for our cutting-edge research in speech, audio, NLP technologies. We believe in accelerating scientific progress through transparent collaboration, and invite the global research community to explore, reproduce, and build upon our work.
Explore our latest research implementations:
This repository contains research artifacts:
⚠️ Not an official Alibaba product
⚠️ Released for academic/research purposes only
⚠️ Models may be subject to specific license terms
Python
93.4%
Shell
4.6%
HTML
1.2%
This repository is maintained by the Speech Team at Alibaba’s Tongyi Lab, serving as an open-source platform for our cutting-edge research in speech, audio, NLP technologies. We believe in accelerating scientific progress through transparent collaboration, and invite the global research community to explore, reproduce, and build upon our work.
54
stars
54
commits
Python
primary language
Sep 8, 2026
updated
Welcome to Fun Research! This repository is maintained by the Speech Team at Alibaba's Tongyi Lab, serving as an open-source platform for our cutting-edge research in speech, audio, NLP technologies. We believe in accelerating scientific progress through transparent collaboration, and invite the global research community to explore, reproduce, and build upon our work.
Explore our latest research implementations:
This repository contains research artifacts:
⚠️ Not an official Alibaba product
⚠️ Released for academic/research purposes only
⚠️ Models may be subject to specific license terms
Python
93.4%
Shell
4.6%
HTML
1.2%