温州话 识别 模型
active 2024-05-23 → 2026-05-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 730 days from 2024-05-23 to 2026-05-22. Pushes: 4 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 62 total, peak 6 in a day. Comments: 187 total, peak 20 in a day. Stars: 734 total, peak 93 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 |
|---|---|---|---|---|
| TTTdas | 81 | 4 | 0 | 77 |
| csukuangfj | 14 | 0 | 0 | 14 |
| ShengHee | 10 | 0 | 0 | 8 |
| lovemefan | 8 | 0 | 0 | 5 |
| rookie0607 | 7 | 0 | 0 | 7 |
| Christmas-Wong | 7 | 0 | 0 | 7 |
| dfengpo | 6 | 0 | 0 | 4 |
| rainskyfyy | 6 | 0 | 0 | 4 |
| llh666521 | 6 | 0 | 0 | 3 |
| oslijunw | 4 | 0 | 0 | 3 |
| uncleunclelu | 4 | 0 | 0 | 1 |
| GaoZhipengCN | 4 | 0 | 0 | 1 |
| lbr-Robert | 4 | 0 | 0 | 3 |
| lostsollar | 4 | 0 | 0 | 3 |
| zorionginn | 4 | 0 | 0 | 4 |
| Marso0123 | 3 | 0 | 0 | 3 |
| llleohk | 3 | 0 | 0 | 2 |
| chengjunjiecn | 3 | 0 | 0 | 2 |
| lq0104 | 3 | 0 | 0 | 2 |
| mikeswf | 3 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#38TTTdas2025-09-28 06:15关于fairseq和wenet中模型结构的区别
- Issue#64chengjunjiecn2025-09-27 23:14kespeech 数据集分布不平衡，并且有train_phase1和train_phase2两个目录，请问怎么训练的
- Issue comment#38chengjunjiecn2025-09-27 09:39关于fairseq和wenet中模型结构的区别
- Issue comment#38chengjunjiecn2025-09-27 07:32关于fairseq和wenet中模型结构的区别
- Issue comment#62yu-zh472025-07-03 01:06请问下你们内部使用的未开源的模型温州话识别准确率如何
- Issue comment#61TTTdas2025-06-28 14:03执行decode.sh微调之后，推理内容为空，如何修改
- Issue comment#61Argonare2025-06-28 01:28执行decode.sh微调之后，推理内容为空，如何修改
- Issue comment#27zte-tcb2025-06-26 08:54执行prepare_kaldi_feats.sh后，如何生成 .tsv 结尾的文件？
- Issue#61Argonare2025-06-15 03:02执行decode.sh微调之后，推理内容为空，如何修改
- Issue#60TryXLOL2025-06-02 10:21关于模型的信息问题
- Issue comment#19wwfcnu2025-05-20 09:17提供一个不依赖fairseq和kaldi的runtime
- Issue comment#27wwfcnu2025-05-15 03:16执行prepare_kaldi_feats.sh后，如何生成 .tsv 结尾的文件？
- Issue comment#59TTTdas2025-05-08 05:57预训练模型选择
- Issue#59llh6665212025-04-23 11:25预训练模型选择
- Issue comment#20jackylee12025-04-05 14:04您好，请问可以具体列一下目前支持的30种方言吗，后续会开源少量的数据
- Issue comment#26csukuangfj2025-03-15 08:04粤语或者闽南语直接可用 asr 模型
- Issue comment#26Dinxin2025-03-14 11:09粤语或者闽南语直接可用 asr 模型
- Issue comment#36RubinTry2025-03-10 06:07有商用 API 可以调用吗？
- Issue#58Mhw-git2025-02-27 07:14执行decode.sh报错
- Issue comment#56TTTdas2025-01-21 05:43请问finetune_large_kespeech模型如何直接跑起来？
- Issue comment#55TTTdas2025-01-21 05:39这电信一直假装宣传自己的AI，结果issue看都不看
- Issue comment#55bltcn2025-01-17 09:23这电信一直假装宣传自己的AI，结果issue看都不看
- Issue comment#56jackchwang2025-01-13 12:18请问finetune_large_kespeech模型如何直接跑起来？
- Issue comment#57TTTdas2025-01-10 07:38角色分离
- Issue comment#41Arcs-ur2024-12-27 13:39请问后续会提供base模型在8种方言的finetune结果吗？
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 734 stars here means stars gained during the window, not the repo's star count.