Use QwenAudio canonical repository links (#3412)

Co-authored-by: zhifu gao <18321252+LauraGPT@users.noreply.github.com>

Author: LauraGPT

CONTRIBUTING.md

@@ -9,8 +9,8 @@ FunASR spans four repositories. Before opening an issue or PR, check which repo
 | Repository | Owns |
 |---|---|
 | `modelscope/FunASR` | Toolkit, inference pipelines, deployment services, `funasr` PyPI package |
-| `FunAudioLLM/Fun-ASR` | Fun-ASR-Nano / MLT model family, checkpoints, model cards, benchmarks, model-level integrations (Transformers, vLLM, GGUF) |
-| `FunAudioLLM/SenseVoice` | SenseVoice model: ASR + emotion + audio events |
+| `QwenAudio/Fun-ASR` | Fun-ASR-Nano / MLT model family, checkpoints, model cards, benchmarks, model-level integrations (Transformers, vLLM, GGUF) |
+| `QwenAudio/SenseVoice` | SenseVoice model: ASR + emotion + audio events |
 | `modelscope/FunClip` | Video transcription, subtitles, Gradio UI |
 
 **Quick test:** does the problem persist with a different model? If yes, it belongs in `modelscope/FunASR`. If it only affects one model, file it in that model's repo.

README.md

@@ -344,12 +344,12 @@ asset is published.
 - 2026/05/20: Added Qwen3-ASR (0.6B/1.7B) — 52 languages, auto detection. [usage](examples/industrial_data_pretraining/qwen3_asr)
 - 2026/05/20: Added GLM-ASR-Nano (1.5B) — 17 languages, dialect support. [usage](examples/industrial_data_pretraining/glm_asr)
 - 2026/05/19: Fun-ASR-Nano and SenseVoice can be combined with VAD and CAM++ for speaker diarization.
-- 2025/12/15: [Fun-ASR-Nano-2512](https://github.com/FunAudioLLM/Fun-ASR) — Chinese, English, Japanese, and Chinese dialect support; trained on tens of millions of hours.
+- 2025/12/15: [Fun-ASR-Nano-2512](https://github.com/QwenAudio/Fun-ASR) — Chinese, English, Japanese, and Chinese dialect support; trained on tens of millions of hours.
 
 <details><summary>Older</summary>
 
 - 2024/10/10: Whisper-large-v3-turbo support added.
-- 2024/07/04: [SenseVoice](https://github.com/FunAudioLLM/SenseVoice) — ASR + emotion + audio events.
+- 2024/07/04: [SenseVoice](https://github.com/QwenAudio/SenseVoice) — ASR + emotion + audio events.
 - 2024/01/30: FunASR 1.0 released.
 
 </details>

README_ja.md

@@ -108,7 +108,7 @@ Whisper は単一モデルですが、**FunASR はツールキット**です—
 - 2026/05/20：Qwen3-ASR (0.6B/1.7B) 追加 — 52言語対応。
 - 2026/05/20：GLM-ASR-Nano (1.5B) 追加 — 17言語、方言対応。
 - 2026/05/19：Fun-ASR-NanoとSenseVoiceは、VADおよびCAM++と組み合わせて話者分離パイプラインを構成できます。
-- 2025/12/15：[Fun-ASR-Nano-2512](https://github.com/FunAudioLLM/Fun-ASR) — 中・英・日と中国語方言に対応。
+- 2025/12/15：[Fun-ASR-Nano-2512](https://github.com/QwenAudio/Fun-ASR) — 中・英・日と中国語方言に対応。
 
 ---
 

README_ko.md

@@ -108,7 +108,7 @@ Whisper는 단일 모델이지만, **FunASR는 툴킷**입니다. 용도에 맞
 - 2026/05/20: Qwen3-ASR (0.6B/1.7B) 추가 — 52개 언어 지원.
 - 2026/05/20: GLM-ASR-Nano (1.5B) 추가 — 17개 언어, 방언 지원.
 - 2026/05/19: Fun-ASR-Nano 및 SenseVoice는 VAD 및 CAM++와 결합하여 화자 분리 파이프라인을 구성할 수 있습니다.
-- 2025/12/15: [Fun-ASR-Nano-2512](https://github.com/FunAudioLLM/Fun-ASR) — 중국어, 영어, 일본어 및 중국어 방언 지원.
+- 2025/12/15: [Fun-ASR-Nano-2512](https://github.com/QwenAudio/Fun-ASR) — 중국어, 영어, 일본어 및 중국어 방언 지원.
 
 ---
 

README_zh.md

@@ -167,12 +167,12 @@ Whisper 是单个模型，**FunASR 是一个工具箱**——按场景挑模型
 - 2026/05/20：新增 Qwen3-ASR (0.6B/1.7B)，52 种语言自动检测。[使用方法](examples/industrial_data_pretraining/qwen3_asr)
 - 2026/05/20：新增 GLM-ASR-Nano (1.5B)，17 种语言，方言优化。[使用方法](examples/industrial_data_pretraining/glm_asr)
 - 2026/05/19：Fun-ASR-Nano 和 SenseVoice 可与 VAD、CAM++ 组合为说话人分离 pipeline。
-- 2025/12/15：[Fun-ASR-Nano-2512](https://github.com/FunAudioLLM/Fun-ASR) 上线，支持中/英/日及中文方言。
+- 2025/12/15：[Fun-ASR-Nano-2512](https://github.com/QwenAudio/Fun-ASR) 上线，支持中/英/日及中文方言。
 
 <details><summary>更早</summary>
 
 - 2024/10/10：支持 Whisper-large-v3-turbo。
-- 2024/07/04：[SenseVoice](https://github.com/FunAudioLLM/SenseVoice) 发布。
+- 2024/07/04：[SenseVoice](https://github.com/QwenAudio/SenseVoice) 发布。
 - 2024/01/30：FunASR 1.0 发布。
 
 </details>

docs/community_growth_20k.md

@@ -12,7 +12,7 @@ This document explains the responsibility boundaries, user entry points, and iss
 The four repositories share models and tooling but their responsibility boundaries were never written down, causing two practical problems:
 
 1. **Misrouted issues** — model problems get filed against the toolkit, deployment questions land in model repos, and issues bounce between them.
-2. **Duplicate implementation drift** — the same realtime service exists in multiple repositories, and fixes only land in one copy. [#3101](https://github.com/modelscope/FunASR/issues/3101) is a concrete example: an unbounded long-session state bug had to be fixed separately in [#3214](https://github.com/modelscope/FunASR/pull/3214) and [FunAudioLLM/Fun-ASR#135](https://github.com/FunAudioLLM/Fun-ASR/pull/135).
+2. **Duplicate implementation drift** — the same realtime service exists in multiple repositories, and fixes only land in one copy. [#3101](https://github.com/modelscope/FunASR/issues/3101) is a concrete example: an unbounded long-session state bug had to be fixed separately in [#3214](https://github.com/modelscope/FunASR/pull/3214) and [QwenAudio/Fun-ASR#135](https://github.com/QwenAudio/Fun-ASR/pull/135).
 
 ---
 
@@ -21,8 +21,8 @@ The four repositories share models and tooling but their responsibility boundari
 | Repository | Canonical responsibility | Not here |
 |---|---|---|
 | [modelscope/FunASR](https://github.com/modelscope/FunASR) (toolkit / runtime) | Framework and inference pipelines, training and fine-tuning, components (VAD / punctuation / ITN / speaker), **deployment services (including realtime WebSocket)**, `funasr` PyPI package | Model weights and model cards; application-layer UI |
-| [FunAudioLLM/Fun-ASR](https://github.com/FunAudioLLM/Fun-ASR) (model repo) | Fun-ASR-Nano / MLT model family and LLM-ASR identity: model documentation, weight releases, capability scope (languages / dialects / accents / hotwords / timestamps / speaker), benchmarks, fine-tuning, and model-level integrations (Transformers, vLLM, GGUF) | Service implementation (links to FunASR; no longer maintains its own authoritative copy) |
-| [FunAudioLLM/SenseVoice](https://github.com/FunAudioLLM/SenseVoice) (model repo) | SenseVoice speech understanding foundation model: ASR / language identification (LID) / speech emotion recognition (SER) / audio event detection (AED), and model-side usage | General inference framework; deployment services |
+| [QwenAudio/Fun-ASR](https://github.com/QwenAudio/Fun-ASR) (model repo) | Fun-ASR-Nano / MLT model family and LLM-ASR identity: model documentation, weight releases, capability scope (languages / dialects / accents / hotwords / timestamps / speaker), benchmarks, fine-tuning, and model-level integrations (Transformers, vLLM, GGUF) | Service implementation (links to FunASR; no longer maintains its own authoritative copy) |
+| [QwenAudio/SenseVoice](https://github.com/QwenAudio/SenseVoice) (model repo) | SenseVoice speech understanding foundation model: ASR / language identification (LID) / speech emotion recognition (SER) / audio event detection (AED), and model-side usage | General inference framework; deployment services |
 | [modelscope/FunClip](https://github.com/modelscope/FunClip) (application layer) | FunASR-based video transcription, subtitle generation, and LLM-assisted clipping; local Gradio UI | Underlying ASR capabilities and model issues (upstream to FunASR / model repos) |
 
 ---
@@ -33,8 +33,8 @@ The four repositories share models and tooling but their responsibility boundari
 |---|---|
 | Use Python for speech recognition / training / fine-tuning | [modelscope/FunASR](https://github.com/modelscope/FunASR) |
 | Deploy a realtime streaming ASR service, recommend **Fun-ASR-Nano + vLLM** | [modelscope/FunASR/fun_asr_nano](https://github.com/modelscope/FunASR/tree/main/examples/industrial_data_pretraining/fun_asr_nano) — **canonical implementation, see below** |
-| Understand Fun-ASR-Nano / MLT capabilities, checkpoints, benchmarks, or use Transformers / vLLM / GGUF integrations | [FunAudioLLM/Fun-ASR](https://github.com/FunAudioLLM/Fun-ASR) |
-| Use emotion recognition / audio event detection | [FunAudioLLM/SenseVoice](https://github.com/FunAudioLLM/SenseVoice) |
+| Understand Fun-ASR-Nano / MLT capabilities, checkpoints, benchmarks, or use Transformers / vLLM / GGUF integrations | [QwenAudio/Fun-ASR](https://github.com/QwenAudio/Fun-ASR) |
+| Use emotion recognition / audio event detection | [QwenAudio/SenseVoice](https://github.com/QwenAudio/SenseVoice) |
 | Generate video subtitles / clip videos | [modelscope/FunClip](https://github.com/modelscope/FunClip) |
 
 ---
@@ -46,8 +46,8 @@ The four repositories share models and tooling but their responsibility boundari
 | Framework, inference pipeline, training, fine-tuning | `modelscope/FunASR` |
 | Deployment services: realtime WebSocket, offline service, SDK | `modelscope/FunASR` |
 | VAD / punctuation / ITN / speaker component behavior | `modelscope/FunASR` |
-| Fun-ASR model family recognition quality, language support, weights, benchmarks, or model-level integrations (Transformers / vLLM / GGUF) | `FunAudioLLM/Fun-ASR` |
-| SenseVoice recognition / emotion / event detection quality | `FunAudioLLM/SenseVoice` |
+| Fun-ASR model family recognition quality, language support, weights, benchmarks, or model-level integrations (Transformers / vLLM / GGUF) | `QwenAudio/Fun-ASR` |
+| SenseVoice recognition / emotion / event detection quality | `QwenAudio/SenseVoice` |
 | Video clipping, subtitle export, Gradio UI | `modelscope/FunClip` |
 
 **Quick test: does the problem persist if you swap in a different model?**
@@ -62,10 +62,10 @@ The four repositories share models and tooling but their responsibility boundari
 **The realtime WebSocket service in [Fun-ASR-Nano + vLLM realtime WebSocket service](https://github.com/modelscope/FunASR/blob/main/examples/industrial_data_pretraining/fun_asr_nano/serve_realtime_ws.py) is the recommended implementation.**
 
 - Feature development, bug fixes, and behavior changes **always land in `modelscope/FunASR` first**.
-- Model repos (`FunAudioLLM/Fun-ASR`) **link to the canonical implementation only** and no longer describe their own copy as the authoritative version.
+- Model repos (`QwenAudio/Fun-ASR`) **link to the canonical implementation only** and no longer describe their own copy as the authoritative version.
 - Related issues should all be filed in `modelscope/FunASR`.
 
-**Why:** two copies evolving independently means fixes land in only one. [#3101](https://github.com/modelscope/FunASR/issues/3101) demonstrated the cost — the same unbounded long-session state bug required separate fixes in [#3214](https://github.com/modelscope/FunASR/pull/3214) and [FunAudioLLM/Fun-ASR#135](https://github.com/FunAudioLLM/Fun-ASR/pull/135). Converging to a single canonical source is a Next roadmap item.
+**Why:** two copies evolving independently means fixes land in only one. [#3101](https://github.com/modelscope/FunASR/issues/3101) demonstrated the cost — the same unbounded long-session state bug required separate fixes in [#3214](https://github.com/modelscope/FunASR/pull/3214) and [QwenAudio/Fun-ASR#135](https://github.com/QwenAudio/Fun-ASR/pull/135). Converging to a single canonical source is a Next roadmap item.
 
 ---
 
@@ -75,7 +75,7 @@ The four repositories share models and tooling but their responsibility boundari
 
 ### Now
 
-- **Bounded realtime long-session state** — fixes merged via [#3214](https://github.com/modelscope/FunASR/pull/3214), diagnostics shipped in `funasr==1.3.19`, and the model-repo mirror fix [FunAudioLLM/Fun-ASR#135](https://github.com/FunAudioLLM/Fun-ASR/pull/135) also merged. [#3101](https://github.com/modelscope/FunASR/issues/3101) remains open while waiting for reporter retest logs.
+- **Bounded realtime long-session state** — fixes merged via [#3214](https://github.com/modelscope/FunASR/pull/3214), diagnostics shipped in `funasr==1.3.19`, and the model-repo mirror fix [QwenAudio/Fun-ASR#135](https://github.com/QwenAudio/Fun-ASR/pull/135) also merged. [#3101](https://github.com/modelscope/FunASR/issues/3101) remains open while waiting for reporter retest logs.
 - **Fun-ASR-Nano native Transformers integration** — [huggingface/transformers#46180](https://github.com/huggingface/transformers/pull/46180); in review. See the linked PR for current CI and review status.
 - **Clarify repository roles and issue routing** — [#3203](https://github.com/modelscope/FunASR/issues/3203); this document.
 

docs/repository_roles.md

@@ -12,7 +12,7 @@
 四个仓库共享同一套模型和工具链,但职责边界此前没有写下来,带来两个实际问题:
 
 1. **Issue 路由错位** —— 模型问题提到工具包,部署问题提到模型仓,来回转派。
-2. **重复实现漂移** —— 同一个实时服务在多个仓库各有一份副本,修复只落在其中一处。[#3101](https://github.com/modelscope/FunASR/issues/3101) 就是这样产生的:长会话状态无界的缺陷需要在两个仓库分别修复([#3214](https://github.com/modelscope/FunASR/pull/3214) 与 [FunAudioLLM/Fun-ASR#135](https://github.com/FunAudioLLM/Fun-ASR/pull/135))。
+2. **重复实现漂移** —— 同一个实时服务在多个仓库各有一份副本,修复只落在其中一处。[#3101](https://github.com/modelscope/FunASR/issues/3101) 就是这样产生的:长会话状态无界的缺陷需要在两个仓库分别修复([#3214](https://github.com/modelscope/FunASR/pull/3214) 与 [QwenAudio/Fun-ASR#135](https://github.com/QwenAudio/Fun-ASR/pull/135))。
 
 ---
 
@@ -21,8 +21,8 @@
 | 仓库 | 核心职责 | 不在这里 |
 |---|---|---|
 | [modelscope/FunASR](https://github.com/modelscope/FunASR)（工具包 / 运行时） | 框架与推理管线 (pipelines)、训练与微调、VAD / 标点 / ITN / 说话人等组件、**部署服务(含实时 WebSocket 服务)**、`funasr` PyPI 包 | 模型权重与 model card;应用层 UI |
-| [FunAudioLLM/Fun-ASR](https://github.com/FunAudioLLM/Fun-ASR)（模型仓） | Fun-ASR-Nano / MLT 模型家族与 LLM-ASR 身份:模型说明、权重发布、能力范围(语言 / 方言 / 口音 / 热词 / 时间戳 / 说话人)、模型评测、微调，以及模型级集成(Transformers、vLLM、GGUF) | 服务实现(链接 FunASR,不再自带权威副本) |
-| [FunAudioLLM/SenseVoice](https://github.com/FunAudioLLM/SenseVoice)（模型仓） | SenseVoice 语音理解基础模型:ASR / 语种识别(LID) / 情感识别(SER) / 音频事件检测(AED),及其模型侧用法 | 通用推理框架;部署服务 |
+| [QwenAudio/Fun-ASR](https://github.com/QwenAudio/Fun-ASR)（模型仓） | Fun-ASR-Nano / MLT 模型家族与 LLM-ASR 身份:模型说明、权重发布、能力范围(语言 / 方言 / 口音 / 热词 / 时间戳 / 说话人)、模型评测、微调，以及模型级集成(Transformers、vLLM、GGUF) | 服务实现(链接 FunASR,不再自带权威副本) |
+| [QwenAudio/SenseVoice](https://github.com/QwenAudio/SenseVoice)（模型仓） | SenseVoice 语音理解基础模型:ASR / 语种识别(LID) / 情感识别(SER) / 音频事件检测(AED),及其模型侧用法 | 通用推理框架;部署服务 |
 | [modelscope/FunClip](https://github.com/modelscope/FunClip)（应用层） | 基于 FunASR 的视频转写、字幕生成与 LLM 辅助剪辑;本地 Gradio UI | 底层 ASR 能力与模型问题(上游到 FunASR / 模型仓) |
 
 ---
@@ -33,8 +33,8 @@
 |---|---|
 | 用 Python 做语音识别 / 训练 / 微调 | [modelscope/FunASR](https://github.com/modelscope/FunASR) |
 | 部署实时流式 ASR 服务，推荐 Fun-ASR-Nano + vLLM 做实时识别 | [modelscope/FunASR/fun_asr_nano](https://github.com/modelscope/FunASR/tree/main/examples/industrial_data_pretraining/fun_asr_nano) —— **推荐实现,见下节** |
-| 了解 Fun-ASR-Nano / MLT 的能力范围、权重、评测,或使用 Transformers / vLLM / GGUF 集成 | [FunAudioLLM/Fun-ASR](https://github.com/FunAudioLLM/Fun-ASR) |
-| 需要情感识别 / 音频事件检测 | [FunAudioLLM/SenseVoice](https://github.com/FunAudioLLM/SenseVoice) |
+| 了解 Fun-ASR-Nano / MLT 的能力范围、权重、评测,或使用 Transformers / vLLM / GGUF 集成 | [QwenAudio/Fun-ASR](https://github.com/QwenAudio/Fun-ASR) |
+| 需要情感识别 / 音频事件检测 | [QwenAudio/SenseVoice](https://github.com/QwenAudio/SenseVoice) |
 | 做视频字幕 / 剪辑 | [modelscope/FunClip](https://github.com/modelscope/FunClip) |
 
 ---
@@ -46,8 +46,8 @@
 | 框架、推理管线 (pipelines)、训练、微调 | `modelscope/FunASR` |
 | 部署服务:实时 WebSocket、离线服务、SDK | `modelscope/FunASR` |
 | VAD / 标点 / ITN / 说话人 组件行为 | `modelscope/FunASR` |
-| Fun-ASR 系列模型的识别效果、语言支持、权重、评测,以及 Transformers / vLLM / GGUF 等模型级集成 | `FunAudioLLM/Fun-ASR` |
-| SenseVoice 的识别 / 情感 / 事件检测效果 | `FunAudioLLM/SenseVoice` |
+| Fun-ASR 系列模型的识别效果、语言支持、权重、评测,以及 Transformers / vLLM / GGUF 等模型级集成 | `QwenAudio/Fun-ASR` |
+| SenseVoice 的识别 / 情感 / 事件检测效果 | `QwenAudio/SenseVoice` |
 | 视频剪辑、字幕导出、Gradio UI | `modelscope/FunClip` |
 
 **判断法则:换一个模型后问题是否还在?**
@@ -62,10 +62,10 @@
 **`modelscope/FunASR` 中的[Fun-ASR-Nano + vLLM 实时 WebSocket 服务](https://github.com/modelscope/FunASR/blob/main/examples/industrial_data_pretraining/fun_asr_nano/serve_realtime_ws.py)是推荐实现。**
 
 - 功能开发、缺陷修复、行为变更,**一律先在 `modelscope/FunASR` 落地**。
-- 模型仓(`FunAudioLLM/Fun-ASR`)**只链接到权威实现**,不再把自带副本描述为权威实现。
+- 模型仓(`QwenAudio/Fun-ASR`)**只链接到权威实现**,不再把自带副本描述为权威实现。
 - 相关 issue 一律提到 `modelscope/FunASR`。
 
-**为什么:** 两份副本各自演进,修复就会只落在其中一处。[#3101](https://github.com/modelscope/FunASR/issues/3101) 已经暴露过这个代价——同一个长会话状态无界的缺陷,需要分别在 [#3214](https://github.com/modelscope/FunASR/pull/3214) 和 [FunAudioLLM/Fun-ASR#135](https://github.com/FunAudioLLM/Fun-ASR/pull/135) 修两次。收敛到唯一权威实现是 Next 的一项工作。
+**为什么:** 两份副本各自演进,修复就会只落在其中一处。[#3101](https://github.com/modelscope/FunASR/issues/3101) 已经暴露过这个代价——同一个长会话状态无界的缺陷,需要分别在 [#3214](https://github.com/modelscope/FunASR/pull/3214) 和 [QwenAudio/Fun-ASR#135](https://github.com/QwenAudio/Fun-ASR/pull/135) 修两次。收敛到唯一权威实现是 Next 的一项工作。
 
 ---
 
@@ -75,7 +75,7 @@
 
 ### 当前
 
-- **实时服务长会话有界状态** —— 修复已由 [#3214](https://github.com/modelscope/FunASR/pull/3214) 合并，诊断能力已随 `funasr==1.3.19` 发布；模型仓镜像修复 [FunAudioLLM/Fun-ASR#135](https://github.com/FunAudioLLM/Fun-ASR/pull/135) 亦已合并。[#3101](https://github.com/modelscope/FunASR/issues/3101) 仍保持 open，等待 reporter 提供复测日志。
+- **实时服务长会话有界状态** —— 修复已由 [#3214](https://github.com/modelscope/FunASR/pull/3214) 合并，诊断能力已随 `funasr==1.3.19` 发布；模型仓镜像修复 [QwenAudio/Fun-ASR#135](https://github.com/QwenAudio/Fun-ASR/pull/135) 亦已合并。[#3101](https://github.com/modelscope/FunASR/issues/3101) 仍保持 open，等待 reporter 提供复测日志。
 - **Fun-ASR-Nano 的 Transformers 原生集成** —— [huggingface/transformers#46180](https://github.com/huggingface/transformers/pull/46180),正在审查中;当前 CI 与审查状态请以链接的 PR 为准。
 - **明确四仓职责与 issue 路由** —— [#3203](https://github.com/modelscope/FunASR/issues/3203);即本文档。