License clarification for emotion2vec+ base weights (paid desktop app, ONNX export downloaded on first use)
维护者通常 1 天内回复
还没有人认领这个 Issue。
评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 20/100
- Issue 类型
- 文档
- 描述清晰度
- 描述清楚
- 活跃度
- 活跃
调研方向
Start by checking the MODEL_LICENSE version and the emotion2vec model card for the named upstream weights and ONNX export. The issue asks maintainers to clarify commercial use, attribution, the meaning of the stated restriction, and whether later licence changes affect these revisions; a complete resolution should answer those questions or point to the responsible authors.
由索引模型根据 Issue 内容生成。
描述
Hello FunASR maintainers, this is a licensing question only — no technical support needed.
Artefacts
| Upstream weights | emotion2vec/emotion2vec_plus_base (Hugging Face), revision b318240bfe67db81a8c572ecb37ce9c3759b81c9 |
model.pt SHA-256 |
60710b5aae1dbe69bdac8920028fb05882d4314fd09031922b4b61ee9e7aadbd |
| ONNX export used | pankotaro/emotion2vec-plus-base-onnx, revision 334d4376993c381f059cc36d2c6ed05cbfec5ca1 |
emotion2vec_plus_base.onnx SHA-256 |
a9ddcc2f4254c3da1dc2a51ea5e38df32e2a84724519e343499f05f0ea2b3506 |
emotion2vec_head.json SHA-256 |
69666ff0d2873f016f5a8187b685e32a2c419130876bf97b069c981c44cfe02c |
Why the metadata does not settle it: the model card says license: other / model-license, and license_link points to the FunASR repository home page, not to a fixed licence file. The current MODEL_LICENSE v1.1 allows use, modification and sharing with attribution, but does not mention commercial use, calls the software "provided for reference and learning purposes only", and may be revised.
Intended use: local speech emotion recognition inside a paid, proprietary desktop application (one-time purchase or subscription). Weights unmodified and not bundled: the app downloads the ONNX file on first use and verifies its SHA-256. No hosted API, no standalone sale.
Questions
- Which licence and version apply to these files?
- Is this commercial use permitted?
- Is "reference and learning purposes only" a restriction or a disclaimer?
- What attribution wording do you require?
- Would future licence revisions apply to these fixed revisions?
If the decision rests with the emotion2vec authors (https://github.com/ddlBoJack/emotion2vec), a pointer would be appreciated. Thank you!
- 主要语言
- Python
- 星标
- 21k
- 派生
- 2.1k
- 平均合并
- 15 小时 16 分钟
- 30 天内合并 PR
- 85
环境准备
- 没有 Dockerfile 或 Docker Compose 文件
- 有 Pull Request 模板
- 阅读贡献指南
从这里开始
- 先读完整个 Issue,再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
modelscope/FunASR 的其他 Issue
-
难度 2/5 1-3 小时 新手友好度 72/100
modelscope/FunASR#3801 · 3 条评论 ·
维护者通常 1 天内回复
-
难度 2/5 1-3 小时 新手友好度 76/100
modelscope/FunASR#3796 · 3 条评论 ·
维护者通常 1 天内回复
-
难度 2/5 1-3 小时 新手友好度 72/100
modelscope/FunASR#3762 · 1 条评论 ·
维护者通常 1 天内回复
-
Bug: blank lines in wav.scp / jsonl file lists crash prepare_data_iterator (IndexError / JSONDecodeError)可能已有人在做 关联的 PR 仍在进行中或已合并。 未关闭needs feedback
难度 2/5 1-3 小时 新手友好度 85/100
modelscope/FunASR#3757 · 1 条评论 ·
维护者通常 1 天内回复
-
难度 2/5 1-3 小时 新手友好度 86/100
modelscope/FunASR#3704 · 1 条评论 ·
维护者通常 1 天内回复
查看 modelscope/FunASR 的全部 Issue
相似的 Issue
-
enhancement
难度 2/5 1-3 小时 新手友好度 76/100
Sienna-Platform/SiennaSchemas#130 ·
维护者通常 3 天内回复
-
难度 2/5 1-3 小时 新手友好度 72/100
-
难度 1/5 1 小时以内 新手友好度 85/100
firedrakeproject/Irksome#293 ·
维护者通常 2 天内回复
-
难度 2/5 1-3 小时 新手友好度 78/100
ida-arbeitszeit/workers-control#1578 ·
维护者通常 1 天内回复
-
难度 2/5 1-3 小时 新手友好度 78/100
aws-samples/sample-per-model-bedrock#898 ·
维护者通常 1 天内回复