KAN-TTS is a speech-synthesis training framework, please try the demos we have posted at https://modelscope.cn/models?page=1&tasks=text-to-speech
active 2024-05-30 → 2026-05-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 710 days from 2024-05-30 to 2026-05-09. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 7 total, peak 2 in a day. Comments: 24 total, peak 3 in a day. Stars: 83 total, peak 3 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| xing-xing448 | 7 | 0 | 0 | 7 |
| wukongbuku | 5 | 0 | 0 | 1 |
| chenmj201601 | 3 | 0 | 0 | 2 |
| gansidui | 2 | 0 | 0 | 0 |
| xypledge | 1 | 0 | 0 | 1 |
| whk6688 | 1 | 0 | 0 | 1 |
| wjddd | 1 | 0 | 0 | 1 |
| violet17 | 1 | 0 | 0 | 1 |
| plutols | 1 | 0 | 0 | 1 |
| Shuigs18 | 1 | 0 | 0 | 1 |
| dengyao1 | 1 | 0 | 0 | 1 |
| kangle0224 | 1 | 0 | 0 | 1 |
| zhangsanfeng86 | 1 | 0 | 0 | 1 |
| apachemycat | 1 | 0 | 0 | 1 |
| YangangCao | 1 | 0 | 0 | 1 |
| wanglunhui2012 | 1 | 0 | 0 | 1 |
| qiaoyafeng | 1 | 0 | 0 | 1 |
| Wanqingling | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#49YangangCao2025-02-12 14:36run WuuShanghai and Cantonese error in KAN-TTS or ModelScope
- Issue comment#49plutols2025-02-12 03:17run WuuShanghai and Cantonese error in KAN-TTS or ModelScope
- Issue comment#104zhangsanfeng862024-12-13 09:44请问 ttsfrd有arm64版的吗
- Issue#103gansidui2024-12-13 09:36KAN-TTS在CPU上实时率超过3，但是modelscope上开源的模型实时率是0.5，请问这里有什么区别吗
- Issue comment#104chenmj2016012024-11-27 03:39请问 ttsfrd有arm64版的吗
- Issue comment#96violet172024-11-25 05:10请问ttsfrd有计划发布windows的版本吗？
- Issue#104chenmj2016012024-11-24 10:51请问 ttsfrd有arm64版的吗
- Issue comment#96chenmj2016012024-11-24 10:50请问ttsfrd有计划发布windows的版本吗？
- Issue comment#100whk66882024-11-08 02:29如何区别多音字
- Issue#103gansidui2024-10-27 12:30KAN-TTS在CPU上实时率超过3，但是modelscope上开源的模型实时率是0.5，请问这里有什么区别吗
- Issue comment#91Wanqingling2024-10-16 06:03Sambert微调声学模型失败RuntimeError: Error(s) in loading state_dict for KanTtsSAMBERT: size mismatch for spk_tokenizer.weight: copying a param with shape torch.Size([9, 32]) from checkpoint, the shape in current model is torch.Size([10, 32]).
- Issue comment#58xing-xing4482024-08-11 08:22官方能提供转模型转onnx的脚本吗？自己做有点困难
- Issue comment#58wanglunhui20122024-08-11 07:29官方能提供转模型转onnx的脚本吗？自己做有点困难
- Issue comment#58xing-xing4482024-08-02 10:23官方能提供转模型转onnx的脚本吗？自己做有点困难
- Issue comment#58wjddd2024-07-31 09:41官方能提供转模型转onnx的脚本吗？自己做有点困难
- Issue comment#89xypledge2024-07-31 02:26纯英文效果不好，怎么破？一个单词一个单词往外蹦。。
- Issue comment#58xing-xing4482024-07-30 06:35官方能提供转模型转onnx的脚本吗？自己做有点困难
- Issue comment#58xing-xing4482024-07-21 10:59官方能提供转模型转onnx的脚本吗？自己做有点困难
- Issue comment#58xing-xing4482024-07-21 10:58官方能提供转模型转onnx的脚本吗？自己做有点困难
- Issue comment#58xing-xing4482024-07-21 10:57官方能提供转模型转onnx的脚本吗？自己做有点困难
- Issue#102wukongbuku2024-07-19 09:09windows目前不支持部署，如果想尝试的大家散了吧
- Issue#102wukongbuku2024-07-19 09:09windows目前不支持部署，如果想尝试的大家散了吧
- Issue comment#91kangle02242024-07-17 10:01Sambert微调声学模型失败RuntimeError: Error(s) in loading state_dict for KanTtsSAMBERT: size mismatch for spk_tokenizer.weight: copying a param with shape torch.Size([9, 32]) from checkpoint, the shape in current model is torch.Size([10, 32]).
- Issue comment#58Shuigs182024-07-15 03:00官方能提供转模型转onnx的脚本吗？自己做有点困难
- Issue comment#58dengyao12024-07-11 01:34官方能提供转模型转onnx的脚本吗？自己做有点困难
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 83 stars here means stars gained during the window, not the repo's star count.