chore(release): prepare 1.4.6 (#3549)

Publish the realtime keepalive, empty timestamp segment, and readable subtitle fixes with the verified llama.cpp v0.2.3 nine-platform runtime matrix.

Signed-off-by: LauraGPT <18321252+LauraGPT@users.noreply.github.com>

Author: LauraGPT

README.md

@@ -330,6 +330,7 @@ asset is published.
 
 ## What's new
 
+- 2026/08/29: **v1.4.6 on PyPI** — the realtime WebSocket server keeps 20-second pings but no longer closes healthy sessions by default when queued decoding delays pong handling; operators can still configure a positive timeout after measuring production queue and decode latency. This release also avoids `IndexError` on empty English timestamp segments and groups adjacent subtitle words into readable cues. Upgrade with `python -m pip install -U "funasr==1.4.6"`. The GitHub Release carries the verified nine-platform llama.cpp v0.2.3 runtime archives. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.6)
 - 2026/08/29: **llama.cpp runtime v0.2.3** — adds flushed stage boundaries after backend initialization for model loading, audio/VAD, graph construction and allocation, and compute. These diagnostics narrow Windows AMD Vulkan `0xC0000005` failures that occur after `vulkan backend ready`; they do not claim the hardware-specific crash is fixed. Nine Linux, macOS, and Windows archives are published from one exact commit. [Troubleshooting boundaries ->](./runtime/llama.cpp/README.md#optional-windows-vulkan-backend-for-sensevoicesmall) · [Release ->](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.3)
 - 2026/08/28: **v1.4.5 on PyPI** — `torchaudio` is no longer a hard inference dependency. Feature extraction uses `torchaudio.compliance.kaldi` when available or the optional `kaldi-native-fbank` backend, while operations that still require `torchaudio` now fail with an actionable message. The fallback was verified end to end on Ascend 910B: 70.47 s of audio processed in 1.15 s (RTF 0.016). Upgrade with `python -m pip install -U "funasr==1.4.5"`; on systems without `torchaudio`, install `python -m pip install -U "funasr[knf]==1.4.5"`. The GitHub Release also carries the verified nine-platform llama.cpp v0.2.1 runtime archives. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.5)
 - 2026/08/27: **llama.cpp runtime v0.2.1** — Vulkan device selection now accepts matching integrated GPUs, prefers a matching discrete GPU when both are available, and otherwise falls back to the iGPU. Nine Linux, macOS, and Windows archives were rebuilt and verified with published SHA-256 values. Radeon 780M still needs reporter hardware confirmation; the separate RX 9070 XT `0xC0000005` initialization crash is not claimed fixed. [Download matrix & quickstart ->](https://www.funasr.com/en/deploy/llama-cpp.html) · [Release ->](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.1)

README_ja.md

@@ -99,6 +99,7 @@ Whisper は単一モデルですが、**FunASR はツールキット**です—
 
 ## 最新情報
 
+- 2026/08/29：**v1.4.6 を PyPI に公開** — realtime WebSocket server は 20 秒間隔の ping を維持しつつ、decode queue によって pong 処理が遅れた正常な session を default では切断しなくなりました。運用環境の queue と decode latency を測定したうえで、正の timeout を明示設定することもできます。空の英語 timestamp segment による `IndexError` を防ぎ、隣接する subtitle word を読みやすい cue にまとめます。更新：`python -m pip install -U "funasr==1.4.6"`。GitHub Release には検証済みの llama.cpp v0.2.3 9 platform runtime archive も含まれます。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.4.6)
 - 2026/08/29：**llama.cpp runtime v0.2.3** — backend 初期化後に、model 読み込み、audio/VAD、graph の構築と割り当て、compute の各段階を即時 flush する境界ログを追加しました。`vulkan backend ready` 後に起きる Windows AMD Vulkan `0xC0000005` の発生箇所を絞り込むための診断であり、hardware 固有の crash が修正済みとはしていません。同一の exact commit から Linux、macOS、Windows 向け 9 archive を公開します。[トラブルシューティング →](./runtime/llama.cpp/README.md#optional-windows-vulkan-backend-for-sensevoicesmall) · [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.3)
 - 2026/08/28：**v1.4.5 を PyPI に公開** — `torchaudio` は推論の必須依存関係ではなくなりました。特徴抽出は利用可能な場合に `torchaudio.compliance.kaldi` を使い、そうでなければ任意の `kaldi-native-fbank` backend を利用できます。引き続き `torchaudio` が必要な処理は、実行可能な依存関係メッセージを返します。この fallback は Ascend 910B で end-to-end 検証済みで、70.47 秒の音声を 1.15 秒（RTF 0.016）で処理しました。更新：`python -m pip install -U "funasr==1.4.5"`。`torchaudio` がない環境：`python -m pip install -U "funasr[knf]==1.4.5"`。GitHub Release には検証済みの llama.cpp v0.2.1 9 platform runtime archive も含まれます。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.4.5)
 - 2026/08/27：**llama.cpp runtime v0.2.1** — Vulkan のデバイス選択が一致する統合 GPU を受け入れ、一致する discrete GPU があればそちらを優先し、なければ iGPU にフォールバックするようになりました。SHA-256 を公開した Linux、macOS、Windows 向け 9 archive を再構築・検証済みです。Radeon 780M は報告者の実機確認待ちで、別件の RX 9070 XT `0xC0000005` 初期化 crash は修正済みとはしていません。[ダウンロード一覧と quickstart →](https://www.funasr.com/en/deploy/llama-cpp.html) · [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.1)

README_ko.md

@@ -99,6 +99,7 @@ Whisper는 단일 모델이지만, **FunASR는 툴킷**입니다. 용도에 맞
 
 ## 최신 소식
 
+- 2026/08/29: **v1.4.6 PyPI 공개** — realtime WebSocket server는 20초 간격 ping을 유지하면서 decode queue 때문에 pong 처리가 늦어진 정상 session을 기본적으로 종료하지 않습니다. 운영 환경의 queue 및 decode latency를 측정한 뒤 양수 timeout을 명시적으로 설정할 수도 있습니다. 빈 영어 timestamp segment에서 발생하는 `IndexError`를 방지하고 인접 subtitle word를 읽기 쉬운 cue로 묶습니다. 업데이트: `python -m pip install -U "funasr==1.4.6"`. GitHub Release에는 검증된 llama.cpp v0.2.3 9개 platform runtime archive도 포함됩니다. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.4.6)
 - 2026/08/29: **llama.cpp runtime v0.2.3** — backend 초기화 이후 model load, audio/VAD, graph build와 allocation, compute 단계마다 즉시 flush되는 경계 로그를 추가했습니다. `vulkan backend ready` 이후 발생하는 Windows AMD Vulkan `0xC0000005`의 위치를 좁히기 위한 진단이며, hardware별 crash가 수정됐다고 주장하지 않습니다. 동일한 exact commit에서 Linux, macOS, Windows용 archive 9개를 공개합니다. [문제 해결 경계 →](./runtime/llama.cpp/README.md#optional-windows-vulkan-backend-for-sensevoicesmall) · [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.3)
 - 2026/08/28: **v1.4.5 PyPI 공개** — `torchaudio`는 더 이상 inference의 필수 dependency가 아닙니다. Feature extraction은 사용할 수 있으면 `torchaudio.compliance.kaldi`를 사용하고, 그렇지 않으면 선택형 `kaldi-native-fbank` backend를 사용할 수 있습니다. 여전히 `torchaudio`가 필요한 작업은 해결 방법이 포함된 dependency 메시지를 반환합니다. 이 fallback은 Ascend 910B에서 end-to-end로 검증됐으며 70.47초 오디오를 1.15초(RTF 0.016)에 처리했습니다. 업데이트: `python -m pip install -U "funasr==1.4.5"`. `torchaudio`가 없는 환경: `python -m pip install -U "funasr[knf]==1.4.5"`. GitHub Release에는 검증된 llama.cpp v0.2.1 9개 platform runtime archive도 함께 제공됩니다. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.4.5)
 - 2026/08/27: **llama.cpp runtime v0.2.1** — Vulkan device 선택이 일치하는 integrated GPU를 허용하며, 일치하는 discrete GPU가 함께 있으면 이를 우선하고 없으면 iGPU로 fallback합니다. SHA-256을 공개한 Linux, macOS, Windows용 archive 9개를 다시 빌드하고 검증했습니다. Radeon 780M은 제보자의 실제 하드웨어 확인이 필요하며, 별도 RX 9070 XT `0xC0000005` 초기화 crash는 수정됐다고 주장하지 않습니다. [다운로드 목록 및 quickstart →](https://www.funasr.com/en/deploy/llama-cpp.html) · [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.1)

README_zh.md

@@ -149,6 +149,7 @@ Whisper 是单个模型，**FunASR 是一个工具箱**——按场景挑模型
 
 ## 最新动态
 
+- 2026/08/29：**v1.4.6 已发布到 PyPI** — 实时 WebSocket 服务继续每 20 秒发送 ping，但当排队解码延迟 pong 处理时，默认不再误关仍健康的连接；运维人员仍可在测量生产队列与解码延迟后显式配置正数超时。本版本同时避免空英文时间戳片段触发 `IndexError`，并将相邻字幕词组合为更易读的字幕段。升级命令：`python -m pip install -U "funasr==1.4.6"`。GitHub 发布页同时提供已验证的 llama.cpp v0.2.3 九平台运行包。[发布页 →](https://github.com/modelscope/FunASR/releases/tag/v1.4.6)
 - 2026/08/29：**llama.cpp runtime v0.2.3** — 后端初始化完成后新增可立即刷新的阶段边界，覆盖模型加载、音频/VAD、计算图构建与分配、推理计算，可继续缩小发生在 `vulkan backend ready` 之后的 Windows AMD Vulkan `0xC0000005` 崩溃范围；本版本不宣称已经修复该硬件相关崩溃。九个 Linux、macOS 与 Windows 压缩包由同一准确提交构建并发布。[排障边界 →](./runtime/llama.cpp/README.md#optional-windows-vulkan-backend-for-sensevoicesmall) · [发布页 →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.3)
 - 2026/08/28：**v1.4.5 已发布到 PyPI** — `torchaudio` 不再是推理的硬依赖。特征提取会优先使用 `torchaudio.compliance.kaldi`，不可用时可切换到可选的 `kaldi-native-fbank` 后端；仍然必须使用 `torchaudio` 的操作会给出可执行的依赖提示。该 fallback 已在 Ascend 910B 上端到端验证：70.47 秒音频用时 1.15 秒（RTF 0.016）。常规升级：`python -m pip install -U "funasr==1.4.5"`；没有 `torchaudio` 的环境请安装：`python -m pip install -U "funasr[knf]==1.4.5"`。GitHub 发布页同时提供已验证的 llama.cpp v0.2.1 九平台运行包。[发布页 →](https://github.com/modelscope/FunASR/releases/tag/v1.4.5)
 - 2026/08/27：**llama.cpp runtime v0.2.1** — Vulkan 设备选择现在接受匹配的集成 GPU；同时存在匹配独显时优先独显，否则回退到核显。九个 Linux、macOS 与 Windows 压缩包已重新构建并通过公开 SHA-256 复核。Radeon 780M 仍需报告者实机确认；单独的 RX 9070 XT `0xC0000005` 初始化崩溃不在本次修复声明内。[下载矩阵与快速开始 →](https://www.funasr.com/deploy/llama-cpp.html) · [发布页 →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.1)

funasr/version.txt

@@ -1 +1 @@
-1.4.5
+1.4.6

runtime/llama.cpp/current-release.txt

@@ -1 +1 @@
-runtime-llamacpp-v0.2.1
+runtime-llamacpp-v0.2.3

tests/test_docs_funasr_install_commands.py

@@ -341,9 +341,9 @@ def test_top_level_readmes_surface_current_release_and_edge_runtime():
     }
 
     for name, text in readmes.items():
-        assert 'python -m pip install -U "funasr==1.4.1"' in text, name
-        assert "https://github.com/modelscope/FunASR/releases/tag/v1.4.1" in text, name
-        assert "runtime-llamacpp-v0.2.1" in text, name
+        assert 'python -m pip install -U "funasr==1.4.6"' in text, name
+        assert "https://github.com/modelscope/FunASR/releases/tag/v1.4.6" in text, name
+        assert "runtime-llamacpp-v0.2.3" in text, name
 
     assert "https://www.funasr.com/en/deploy/llama-cpp.html" in readmes["README.md"]
     assert "https://www.funasr.com/deploy/llama-cpp.html" in readmes["README_zh.md"]
@@ -358,9 +358,9 @@ def test_top_level_readmes_surface_current_release_and_edge_runtime():
             "funasr-llamacpp-windows-x64-cuda.zip",
         ):
             assert (
-                f"releases/download/runtime-llamacpp-v0.2.1/{asset}" in text
+                f"releases/download/runtime-llamacpp-v0.2.3/{asset}" in text
             ), name
-        assert "releases/download/runtime-llamacpp-v0.1.9/" not in text, name
+        assert "releases/download/runtime-llamacpp-v0.2.1/" not in text, name
 
 
 def test_realtime_demo_documents_partial_and_hotword_boundaries():

tests/test_release_runtime_downloads.py

@@ -107,7 +107,7 @@ def test_release_on_tag_workflow_uses_versioned_runtime_pointer():
     assert "runtime/llama.cpp/current-release.txt" in workflow
     assert '--runtime-tag "$RUNTIME_TAG"' in workflow
     assert runtime_pointer.read_text(encoding="utf-8").strip() == (
-        "runtime-llamacpp-v0.2.1"
+        "runtime-llamacpp-v0.2.3"
     )
 
 

tests/test_release_version_contract.py

@@ -2,7 +2,7 @@
 
 
 ROOT = Path(__file__).resolve().parents[1]
-RELEASE_VERSION = "1.4.5"
+RELEASE_VERSION = "1.4.6"
 README_FILES = ("README.md", "README_zh.md", "README_ja.md", "README_ko.md")