Prepare FunASR 1.4.17 release candidate

Signed-off-by: LauraGPT <[email protected]>

README.md

@@ -364,6 +364,7 @@ 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 1.4.17 release candidate** adds explicit PCM16 input and improves timestamp, hotword, speaker-sample-rate, and long-segment streaming handling. After publication, 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)
 - **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)
 - **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)
 

README_ja.md

@@ -112,6 +112,7 @@ 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 1.4.17 リリース候補**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。正式公開後に `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)
 - **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)
 - **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)
 

README_ko.md

@@ -111,6 +111,7 @@ 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 1.4.17 릴리스 후보**는 명시적 PCM16 입력을 추가하고 timestamp, hotword, speaker sample rate, 긴 segment의 streaming 처리를 개선합니다. 정식 공개 후 `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)
 - **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)
 - **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)
 

README_zh.md

@@ -157,6 +157,7 @@ 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 1.4.17 发布候选**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。正式发布后安装：`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)
 - **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)
 - **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)
 

docs/repository_roles.md

@@ -6,6 +6,8 @@ This document explains the responsibility boundaries, user entry points, and iss
 > 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).
+> The prepared release candidate is
+> [`funasr==1.4.17`](https://github.com/modelscope/FunASR/releases/tag/v1.4.17); it is not published yet.
 > Any future breaking release still requires a maintainer-approved milestone and
 > migration plan.
 

docs/repository_roles_zh.md

@@ -5,6 +5,7 @@
 > **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)。
+> 已准备的发布候选是 [`funasr==1.4.17`](https://github.com/modelscope/FunASR/releases/tag/v1.4.17)，目前尚未正式发布。
 > 任何未来的 breaking release 仍需 maintainer 确认 milestone 与迁移方案。
 
 ---

funasr/version.txt

@@ -1 +1 @@
-1.4.16
+1.4.17

tests/test_release_version_contract.py

@@ -2,7 +2,7 @@ from pathlib import Path
 
 
 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")