From cd001e38e256d39dce5b13146cbda950da297a94 Mon Sep 17 00:00:00 2001 From: LauraGPT Date: Mon, 27 Jul 2026 15:23:37 +0000 Subject: [PATCH] chore: release FunASR 1.3.30 Signed-off-by: LauraGPT --- README.md | 1 + README_ja.md | 1 + README_ko.md | 1 + README_zh.md | 1 + funasr/version.txt | 2 +- 5 files changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 9430205a6..bfada3c07 100644 --- a/README.md +++ b/README.md @@ -322,6 +322,7 @@ asset is published. ## What's new +- 2026/07/27: **v1.3.30 on PyPI** — container-formatted WAV, MP3, FLAC, OGG, MP4/M4A, and WebM audio bytes are now decoded through their codecs instead of being misread as raw PCM. OpenAI-compatible responses preserve speaker labels, VAD sentence timing survives punctuation mismatch, trusted browser clients can opt in to CORS, and vLLM VAD chunks are capped at 30 seconds. The GitHub release also includes the current prebuilt llama.cpp runtime for nine desktop and server targets. Install with `python -m pip install -U "funasr==1.3.30"`. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.3.30) - 2026/07/24: **v1.3.29 hotfix on PyPI** — SenseVoice long-audio inference now returns each VAD speech region through `sentence_info` when token timestamps and a punctuation model are unavailable. Subtitle clients receive the recognized text with real millisecond start/end bounds instead of one zero-length or full-media cue. Install with `python -m pip install -U "funasr==1.3.29"`. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.3.29) - 2026/07/24: **v1.3.28 hotfix on PyPI** — realtime WebSocket finalization now preserves clean continuous partial transcripts when a VAD-locked decode truncates to a short prefix, repeats a hallucinated phrase, or raises; short STOP tails, VAD finalization, and speaker completion now share the same reliable path. SenseVoice subtitle segmentation also aligns rich tags, punctuation, and word/BPE timestamps without collapsing Chinese into one cue or damaging English surface text. Install with `python -m pip install -U "funasr==1.3.28"`. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.3.28) - 2026/07/24: **v1.3.27 on PyPI** — the OpenAI-compatible server now reports detected SenseVoice language metadata in `verbose_json` and reuses the cached Fun-ASR-Nano `AutoModel` after vLLM fallback. When vLLM/VAD setup and its fallback both fail, half-initialized engine state is cleared so a later request can retry. Install with `python -m pip install -U "funasr==1.3.27"`. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.3.27) diff --git a/README_ja.md b/README_ja.md index 00f56853d..759a4355d 100644 --- a/README_ja.md +++ b/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 +- 2026/07/27：**v1.3.30 を PyPI に公開** — WAV、MP3、FLAC、OGG、MP4/M4A、WebM などのコンテナ形式の音声バイト列を raw PCM と誤認せず、対応するコーデックでデコードするようになりました。OpenAI 互換レスポンスは話者ラベルを保持し、句読点が一致しない場合も VAD 区間時刻を保持します。信頼済みブラウザクライアント向け CORS と、vLLM の 30 秒 VAD 上限にも対応しました。GitHub Release には、デスクトップ／サーバー向け 9 ターゲットの最新 llama.cpp ビルドも同梱しています。インストール：`python -m pip install -U "funasr==1.3.30"`。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.30) - 2026/07/24：**v1.3.29 hotfix が PyPI に公開** — SenseVoice の長時間音声推論で word timestamp と句読点モデルがない場合でも、各 VAD 音声区間を `sentence_info` で返すようになりました。字幕クライアントは、ゼロ長またはメディア全体を覆う一つの cue ではなく、認識テキストと実際のミリ秒単位の開始・終了時刻を取得できます。インストール：`python -m pip install -U "funasr==1.3.29"`。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.29) - 2026/07/24：**v1.3.28 hotfix が PyPI に公開** — VAD で確定した realtime WebSocket の最終結果が短い接頭辞、反復 hallucination、または decode 例外へ退化した場合、現在の音声区間を連続して完全に覆う clean partial を保持します。短い STOP tail、VAD finalize、話者処理も同じ信頼できる完了経路に統一しました。SenseVoice 字幕は rich tag、句読点、word/BPE timestamp を正しく整列し、中国語を一つの cue に潰さず、英語表記も保持します。インストール：`python -m pip install -U "funasr==1.3.28"`。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.28) - 2026/07/24：**v1.3.27 が PyPI に公開** — OpenAI 互換サーバーが `verbose_json` で SenseVoice の検出言語を返し、vLLM fallback 後はキャッシュ済み Fun-ASR-Nano `AutoModel` を再利用します。vLLM/VAD 初期化と fallback の両方が失敗した場合は、半初期化状態を残さず、後続リクエストで再試行できます。インストール：`python -m pip install -U "funasr==1.3.27"`。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.27) diff --git a/README_ko.md b/README_ko.md index 46f4b1501..83afb7d11 100644 --- a/README_ko.md +++ b/README_ko.md @@ -99,6 +99,7 @@ Whisper는 단일 모델이지만, **FunASR는 툴킷**입니다. 용도에 맞 ## 최신 소식 +- 2026/07/27: **v1.3.30 PyPI 공개** — WAV, MP3, FLAC, OGG, MP4/M4A, WebM 컨테이너 형식의 오디오 바이트를 raw PCM으로 잘못 해석하지 않고 해당 코덱으로 디코딩합니다. OpenAI 호환 응답은 화자 라벨을 보존하고, 구두점이 일치하지 않아도 VAD 문장 시간을 유지합니다. 신뢰할 수 있는 브라우저 클라이언트용 CORS와 vLLM의 30초 VAD 구간 제한도 지원합니다. GitHub Release에는 데스크톱 및 서버용 9개 대상의 최신 llama.cpp 빌드도 함께 제공합니다. 설치: `python -m pip install -U "funasr==1.3.30"`. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.30) - 2026/07/24: **v1.3.29 hotfix PyPI 공개** — SenseVoice 장시간 오디오 추론에서 word timestamp와 구두점 모델이 없을 때도 각 VAD 음성 구간을 `sentence_info`로 반환합니다. 자막 클라이언트는 길이가 0이거나 미디어 전체를 덮는 단일 cue 대신 인식 텍스트와 실제 밀리초 단위 시작·종료 시간을 받을 수 있습니다. 설치: `python -m pip install -U "funasr==1.3.29"`. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.29) - 2026/07/24: **v1.3.28 hotfix PyPI 공개** — VAD로 확정된 realtime WebSocket 최종 결과가 짧은 접두사, 반복 hallucination 또는 decode 예외로 퇴화하면 현재 음성 구간을 연속해서 완전히 덮는 clean partial을 보존합니다. 짧은 STOP tail, VAD finalize, 화자 완료 처리도 동일한 안정적인 경로로 통합했습니다. SenseVoice 자막은 rich tag, 구두점, word/BPE timestamp를 올바르게 정렬해 중국어가 하나의 cue로 합쳐지거나 영어 원문이 손상되지 않습니다. 설치: `python -m pip install -U "funasr==1.3.28"`. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.28) - 2026/07/24: **v1.3.27 PyPI 공개** — OpenAI 호환 서버가 `verbose_json`에 SenseVoice 감지 언어를 반환하고, vLLM fallback 후에는 캐시된 Fun-ASR-Nano `AutoModel`을 재사용합니다. vLLM/VAD 초기화와 fallback이 모두 실패하면 반쯤 초기화된 상태를 남기지 않아 이후 요청에서 다시 시도할 수 있습니다. 설치: `python -m pip install -U "funasr==1.3.27"`. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.27) diff --git a/README_zh.md b/README_zh.md index a73cc0b05..e21dae6b5 100644 --- a/README_zh.md +++ b/README_zh.md @@ -147,6 +147,7 @@ Whisper 是单个模型，**FunASR 是一个工具箱**——按场景挑模型 ## 最新动态 +- 2026/07/27：**v1.3.30 已发布到 PyPI** — WAV、MP3、FLAC、OGG、MP4/M4A 和 WebM 等容器格式的音频字节现在会通过对应编解码器解码，不再被误当作原始 PCM。OpenAI 兼容响应会保留说话人标签，标点不匹配时仍保留 VAD 分句时间，受信任的浏览器客户端可按需启用 CORS，vLLM 的 VAD 分段上限为 30 秒。GitHub 发布页还同时提供覆盖九种桌面和服务器目标的当前 llama.cpp 预编译运行包。安装命令：`python -m pip install -U "funasr==1.3.30"`。[发布页 →](https://github.com/modelscope/FunASR/releases/tag/v1.3.30) - 2026/07/24：**v1.3.29 热修复已发布到 PyPI** — SenseVoice 长音频在没有词级时间戳和标点模型时，现在会通过 `sentence_info` 返回每个 VAD 语音片段。字幕客户端可直接获得识别文本及真实的毫秒级起止时间，不再退化为零时长或覆盖整段媒体的单条字幕。安装命令：`python -m pip install -U "funasr==1.3.29"`。[发布页 →](https://github.com/modelscope/FunASR/releases/tag/v1.3.29) - 2026/07/24：**v1.3.28 热修复已发布到 PyPI** — 实时 WebSocket 在 VAD 锁句结果退化为短前缀、重复幻觉或解码异常时，会保留连续且完整覆盖当前语音段的干净 partial；短音频 STOP、VAD 收尾和说话人结束现在统一走可靠的完成路径。SenseVoice 字幕分句也会正确对齐富标签、标点与词/BPE 时间戳，不再把中文压成一个字幕块，也不会破坏英文原文。安装命令：`python -m pip install -U "funasr==1.3.28"`。[发布页 →](https://github.com/modelscope/FunASR/releases/tag/v1.3.28) - 2026/07/24：**v1.3.27 已发布到 PyPI** — OpenAI 兼容服务现在会在 `verbose_json` 中返回 SenseVoice 检测到的语言，并在 vLLM 降级后复用已缓存的 Fun-ASR-Nano `AutoModel`。当 vLLM/VAD 初始化及其 fallback 均失败时，不会残留半初始化的 engine 状态，后续请求可以重试。安装命令：`python -m pip install -U "funasr==1.3.27"`。[发布页 →](https://github.com/modelscope/FunASR/releases/tag/v1.3.27) diff --git a/funasr/version.txt b/funasr/version.txt index a76ee30f8..36165ba1f 100644 --- a/funasr/version.txt +++ b/funasr/version.txt @@ -1 +1 @@ -1.3.29 +1.3.30