LauraGPT · Oct 28, 2026 · Oct 10, 2026 · Oct 10, 2026 · Oct 28, 2026 · Oct 28, 2026
diff --git a/.github/workflows/product-site.yml b/.github/workflows/product-site.yml
@@ -116,7 +116,8 @@ jobs:
           diff -qr /tmp/funasr-site-a /tmp/funasr-site-b
 
   browser:
-    runs-on: ubuntu-latest
+    # Playwright 1.55 supports Ubuntu 24.04, not the moving ubuntu-latest image.
+    runs-on: ubuntu-24.04
     needs: build-and-validate
     defaults:
       run:

diff --git a/README.md b/README.md
@@ -364,7 +364,8 @@ recordings with the same evaluation scope.
 ## What's new
 
 - **MOSS-Transcribe-Diarize** brings long-form ASR, timestamps, and anonymous speaker labels to FunASR services, Docker, Kubernetes, vLLM/SGLang workflows, and FunClip. [Deploy MOSS ->](./docs/moss_transcribe_diarize.md)
-- **FunASR 1.4.16** preserves explicit VAD, punctuation, and speaker-model device placement across inference calls, and adds tested native Transformers adoption guides. Install with `python -m pip install -U "funasr==1.4.16"`. [Release and verification scope ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.16)
+- **FunASR 1.4.17** adds explicit PCM16 input and improves timestamp, hotword, speaker-sample-rate, and long-segment streaming handling. Install with `python -m pip install -U "funasr==1.4.17"`. [Release and verification scope ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.17)
+  **Previous release: FunASR 1.4.16** preserves explicit VAD, punctuation, and speaker-model device placement across inference calls, and adds tested native Transformers adoption guides. [Release and verification scope ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.16)
 - **Native Transformers:** Released **5.17.0** supports Fun-ASR-Nano with the official `-hf` checkpoint, CPU examples and a notebook. [Get started ->](./docs/transformers_native.md)
 
 > See [GitHub Releases](https://github.com/modelscope/FunASR/releases) for the complete changelog and downloadable assets.

diff --git a/README_ja.md b/README_ja.md
@@ -112,7 +112,8 @@ CER/WER をそろえて比較してください。オフラインのスループ
 ## 最新情報
 
 - **MOSS-Transcribe-Diarize** を FunASR service、Docker、Kubernetes、vLLM/SGLang workflow、FunClip に統合し、長時間 ASR、timestamp、匿名 speaker label を一度に処理できます。[MOSS をデプロイ ->](./docs/moss_transcribe_diarize.md)
-- **FunASR 1.4.16** は複数回の推論でも VAD、句読点、話者モデルの明示的な device 配置を保持し、テスト済みのネイティブ Transformers 導入ガイドを追加します。`python -m pip install -U "funasr==1.4.16"`。[リリースと検証範囲 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.16)
+- **FunASR 1.4.17** は明示的な PCM16 入力を追加し、timestamp、hotword、speaker sample rate、長い segment の streaming 処理を改善します。`python -m pip install -U "funasr==1.4.17"` でインストールできます。[リリースと検証範囲 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.17)
+  前のリリース **FunASR 1.4.16** は複数回の推論でも VAD、句読点、話者モデルの明示的な device 配置を保持し、テスト済みのネイティブ Transformers 導入ガイドを追加しました。[リリースと検証範囲 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.16)
 - **ネイティブ Transformers：** 正式版 **5.17.0** が Fun-ASR-Nano に対応。公式 `-hf` checkpoint、CPU サンプル、Notebook：[導入ガイド（英語） ->](./docs/transformers_native.md)
 
 > 完全な変更履歴と download asset は [GitHub Releases](https://github.com/modelscope/FunASR/releases) を参照してください。

diff --git a/README_ko.md b/README_ko.md
@@ -111,7 +111,8 @@ checkpoint/revision, 오디오 집합, 하드웨어, 배치, 워밍업, 측정
 ## 최신 소식
 
 - **MOSS-Transcribe-Diarize**를 FunASR service, Docker, Kubernetes, vLLM/SGLang workflow, FunClip에 통합해 긴 오디오 ASR, timestamp, 익명 speaker label을 한 번에 처리합니다. [MOSS 배포 ->](./docs/moss_transcribe_diarize.md)
-- **FunASR 1.4.16**은 여러 번의 추론에서도 VAD, 문장 부호, 화자 모델의 명시적 device 배치를 유지하고 검증된 네이티브 Transformers 도입 가이드를 추가합니다. `python -m pip install -U "funasr==1.4.16"`. [릴리스 및 검증 범위 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.16)
+- **FunASR 1.4.17**은 명시적 PCM16 입력을 추가하고 timestamp, hotword, speaker sample rate, 긴 segment의 streaming 처리를 개선합니다. `python -m pip install -U "funasr==1.4.17"`로 설치할 수 있습니다. [릴리스 및 검증 범위 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.17)
+  이전 릴리스 **FunASR 1.4.16**은 여러 번의 추론에서도 VAD, 문장 부호, 화자 모델의 명시적 device 배치를 유지하고 검증된 네이티브 Transformers 도입 가이드를 추가했습니다. [릴리스 및 검증 범위 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.16)
 - **네이티브 Transformers:** 정식 버전 **5.17.0**이 Fun-ASR-Nano를 지원합니다. 공식 `-hf` checkpoint, CPU 예제, Notebook: [설치 가이드(영문) ->](./docs/transformers_native.md)
 
 > 전체 변경 기록과 download asset은 [GitHub Releases](https://github.com/modelscope/FunASR/releases)에서 확인할 수 있습니다.

diff --git a/README_zh.md b/README_zh.md
@@ -157,7 +157,8 @@ checkpoint/revision、音频集、硬件、批量大小、预热、计时范围
 ## 最新动态
 
 - **MOSS-Transcribe-Diarize** 已接入 FunASR 服务、Docker、Kubernetes、vLLM/SGLang 工作流和 FunClip，一次完成长音频转写、时间戳与匿名说话人标注。[部署 MOSS ->](./docs/moss_transcribe_diarize_zh.md)
-- **FunASR 1.4.16** 修复 VAD、标点和说话人子模型在多次推理时的显式设备放置，并新增经过测试的原生 Transformers 使用指南。升级命令：`python -m pip install -U "funasr==1.4.16"`。[发布说明与验证范围 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.16)
+- **FunASR 1.4.17** 新增显式 PCM16 输入，改进时间戳、热词、说话人采样率与长片段流式处理。安装：`python -m pip install -U "funasr==1.4.17"`。[发布说明与验证范围 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.17)
+  **上一版本：FunASR 1.4.16** 修复 VAD、标点和说话人子模型在多次推理时的显式设备放置，并新增经过测试的原生 Transformers 使用指南。[发布说明与验证范围 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.16)
 - **原生 Transformers：** 正式版 **5.17.0** 已支持 Fun-ASR-Nano。官方 `-hf` 权重、CPU 示例与 Notebook：[安装与推理 ->](./docs/transformers_native_zh.md)
 
 > 完整改动记录和可下载资产请查看 [GitHub Releases](https://github.com/modelscope/FunASR/releases)。

diff --git a/docs/repository_roles.md b/docs/repository_roles.md
@@ -5,7 +5,7 @@ This document explains the responsibility boundaries, user entry points, and iss
 > **Directional roadmap, not a release promise.**
 > This document records shipped capabilities and active work, but does not commit to
 > future version numbers or dates. The current Python release is
-> [`funasr==1.4.16`](https://github.com/modelscope/FunASR/releases/tag/v1.4.16).
+> [`funasr==1.4.17`](https://github.com/modelscope/FunASR/releases/tag/v1.4.17).
 > Any future breaking release still requires a maintainer-approved milestone and
 > migration plan.
 

diff --git a/docs/repository_roles_zh.md b/docs/repository_roles_zh.md
@@ -4,7 +4,7 @@
 
 > **方向性路线图，不是版本承诺。**
 > 本文档记录已交付能力与正在推进的工作，但不承诺未来版本号或日期。当前 Python
-> 版本是 [`funasr==1.4.16`](https://github.com/modelscope/FunASR/releases/tag/v1.4.16)。
+> 版本是 [`funasr==1.4.17`](https://github.com/modelscope/FunASR/releases/tag/v1.4.17)。
 > 任何未来的 breaking release 仍需 maintainer 确认 milestone 与迁移方案。
 
 ---

diff --git a/funasr/version.txt b/funasr/version.txt
@@ -1 +1 @@
-1.4.16
+1.4.17
diff --git a/tests/test_release_version_contract.py b/tests/test_release_version_contract.py
@@ -2,7 +2,7 @@
 
 
 ROOT = Path(__file__).resolve().parents[1]
-RELEASE_VERSION = "1.4.16"
+RELEASE_VERSION = "1.4.17"
 README_FILES = ("README.md", "README_zh.md", "README_ja.md", "README_ko.md")
 REPOSITORY_ROLE_FILES = ("docs/repository_roles.md", "docs/repository_roles_zh.md")
 
@@ -29,5 +29,23 @@ def test_repository_role_guides_link_the_current_release():
     for name in REPOSITORY_ROLE_FILES:
         text = (ROOT / name).read_text(encoding="utf-8")
 
+
+
+def test_release_documents_do_not_describe_a_pending_candidate():
+    candidate_labels = ("release candidate", "\u53d1\u5e03\u5019\u9009",
+                        "\u30ea\u30ea\u30fc\u30b9\u5019\u88dc", "\ub9b4\ub9ac\uc2a4 \ud6c4\ubcf4")
+    for name in README_FILES:
+        text = (ROOT / name).read_text(encoding="utf-8")
+        version_lines = [line for line in text.splitlines() if RELEASE_VERSION in line]
+        assert version_lines, name
+        assert not any(label in line.lower() for line in version_lines
+                       for label in candidate_labels), name
+        assert 'pip install -U "funasr==1.4.16"' not in text, name
+    for name in REPOSITORY_ROLE_FILES:
+        text = (ROOT / name).read_text(encoding="utf-8")
+        assert "funasr==1.4.16" not in text, name
+        assert "not published yet" not in text, name
+        assert "\u5c1a\u672a\u6b63\u5f0f\u53d1\u5e03" not in text, name
+        assert not any(label in text.lower() for label in candidate_labels), name
         assert f"funasr=={RELEASE_VERSION}" in text
         assert f"releases/tag/v{RELEASE_VERSION}" in text