Release FunASR 1.4.23

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 1.4.22** honors per-call `merge_length_s` and evaluates dynamic VAD silence thresholds per frame using the current segment duration, preserving the fixed-threshold opt-out. [Fix #3841](https://github.com/modelscope/FunASR/pull/3841), [fix #3833](https://github.com/modelscope/FunASR/pull/3833). Install with `python -m pip install -U "funasr==1.4.22"`. [Release and verification scope ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.22)
+- **FunASR 1.4.23** fixes the online frontend cursor for `lfr_m=lfr_n=1` and redundant empty final offline VAD chunks. With a supplied `token_list`, SentencePiece `ids2tokens` returns model pieces; use `tokens2text` for text. Without `token_list`, legacy text decoding is unchanged. [Fix #3849](https://github.com/modelscope/FunASR/pull/3849), [fix #3783](https://github.com/modelscope/FunASR/pull/3783). Install with `python -m pip install -U "funasr==1.4.23"`. [Release and verification scope ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.23)
+  **FunASR 1.4.22** honors per-call `merge_length_s` and evaluates dynamic VAD silence thresholds per frame using the current segment duration, preserving the fixed-threshold opt-out. [Fix #3841](https://github.com/modelscope/FunASR/pull/3841), [fix #3833](https://github.com/modelscope/FunASR/pull/3833). [Release and verification scope ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.22)
   **FunASR 1.4.21** preserves the streaming punctuation cache on empty or whitespace chunks; nonempty inference is unchanged. [Fix #3824](https://github.com/modelscope/FunASR/pull/3824). [Release and verification scope ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.21)
   **FunASR 1.4.20** preserves the original optional speaker dependency failure in a chained `ImportError` when `spk_model` is requested, while ASR-only construction remains available. [Fix #3819](https://github.com/modelscope/FunASR/pull/3819). [Release and verification scope ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.20)
   **FunASR 1.4.19** handles empty-token Paraformer batches, enforces `max_speakers` for automatic clustering, and adds validated JSON-object `--hf_overrides` support to realtime WebSocket serving. [Release and verification scope ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.19)

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 1.4.22** は呼び出しごとの `merge_length_s` を反映し、現在の発話区間の長さに基づいて動的 VAD 無音しきい値をフレーム単位で更新します。固定しきい値モードも維持します。[修正 #3841](https://github.com/modelscope/FunASR/pull/3841)、[修正 #3833](https://github.com/modelscope/FunASR/pull/3833)。`python -m pip install -U "funasr==1.4.22"` 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/v1.4.22)
+- **FunASR 1.4.23** は `lfr_m=lfr_n=1` のオンライン特徴抽出のフレーム位置と、オフライン VAD の余分な空の最終チャンクを修正します。`token_list` 指定時の SentencePiece `ids2tokens` はモデルのピースを返し、テキストへの変換には `tokens2text` を使います。未指定時の従来のテキスト復号は維持します。[修正 #3849](https://github.com/modelscope/FunASR/pull/3849)、[修正 #3783](https://github.com/modelscope/FunASR/pull/3783)。`python -m pip install -U "funasr==1.4.23"` 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/v1.4.23)
+  **FunASR 1.4.22** は呼び出しごとの `merge_length_s` を反映し、現在の発話区間の長さに基づいて動的 VAD 無音しきい値をフレーム単位で更新します。固定しきい値モードも維持します。[修正 #3841](https://github.com/modelscope/FunASR/pull/3841)、[修正 #3833](https://github.com/modelscope/FunASR/pull/3833)。[リリースと検証範囲 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.22)
   **FunASR 1.4.21** はストリーミング句読点処理の空入力で cache を保持します。非空推論は変更されません。[修正 #3824](https://github.com/modelscope/FunASR/pull/3824)。[リリースと検証範囲 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.21)
   **FunASR 1.4.20** は `spk_model` 指定時に任意の話者依存モジュールを読み込めない場合、元の例外を連鎖した `ImportError` で報告します。ASR のみの構築は引き続き利用できます。[修正 #3819](https://github.com/modelscope/FunASR/pull/3819)。[リリースと検証範囲 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.20)
   **FunASR 1.4.19** は Paraformer の空 token batch を処理し、自動クラスタリングの `max_speakers` 上限を適用します。リアルタイム WebSocket サービスには JSON object を検証する `--hf_overrides` を追加しました。[リリースと検証範囲 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.19)

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 1.4.22**는 호출별 `merge_length_s`를 반영하고 현재 발화 구간 길이에 따라 동적 VAD 무음 임계값을 프레임마다 갱신합니다. 고정 임계값 모드도 유지합니다. [수정 #3841](https://github.com/modelscope/FunASR/pull/3841), [수정 #3833](https://github.com/modelscope/FunASR/pull/3833). `python -m pip install -U "funasr==1.4.22"`로 설치할 수 있습니다. [릴리스 및 검증 범위 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.22)
+- **FunASR 1.4.23**은 `lfr_m=lfr_n=1` 온라인 프런트엔드의 프레임 위치와 오프라인 VAD의 불필요한 빈 마지막 청크를 수정합니다. `token_list`를 지정하면 SentencePiece `ids2tokens`는 모델 토큰을 반환하며, 텍스트 변환에는 `tokens2text`를 사용합니다. 미지정 시 기존 텍스트 디코딩은 유지됩니다. [수정 #3849](https://github.com/modelscope/FunASR/pull/3849), [수정 #3783](https://github.com/modelscope/FunASR/pull/3783). `python -m pip install -U "funasr==1.4.23"`로 설치할 수 있습니다. [릴리스 및 검증 범위 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.23)
+  **FunASR 1.4.22**는 호출별 `merge_length_s`를 반영하고 현재 발화 구간 길이에 따라 동적 VAD 무음 임계값을 프레임마다 갱신합니다. 고정 임계값 모드도 유지합니다. [수정 #3841](https://github.com/modelscope/FunASR/pull/3841), [수정 #3833](https://github.com/modelscope/FunASR/pull/3833). [릴리스 및 검증 범위 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.22)
   **FunASR 1.4.21**은 스트리밍 문장부호 처리의 빈 입력에서 cache를 유지합니다. 비어 있지 않은 추론은 변경되지 않습니다. [수정 #3824](https://github.com/modelscope/FunASR/pull/3824). [릴리스 및 검증 범위 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.21)
   **FunASR 1.4.20**은 `spk_model` 사용 시 선택적 화자 의존성 가져오기가 실패하면 원래 예외를 연결한 `ImportError`를 제공합니다. ASR 전용 구성은 계속 사용할 수 있습니다. [수정 #3819](https://github.com/modelscope/FunASR/pull/3819). [릴리스 및 검증 범위 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.20)
   **FunASR 1.4.19**는 Paraformer의 빈 token batch를 처리하고 자동 클러스터링에 `max_speakers` 상한을 적용합니다. 실시간 WebSocket 서비스에 JSON object를 검증하는 `--hf_overrides`도 추가했습니다. [릴리스 및 검증 범위 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.19)

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 1.4.22** 支持逐调用覆盖 `merge_length_s`，并根据当前语音段时长逐帧更新动态 VAD 静音阈值，同时保留固定阈值模式。[修复 #3841](https://github.com/modelscope/FunASR/pull/3841)、[修复 #3833](https://github.com/modelscope/FunASR/pull/3833)。安装：`python -m pip install -U "funasr==1.4.22"`。[发布说明与验证范围 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.22)
+- **FunASR 1.4.23** 修复 `lfr_m=lfr_n=1` 在线前端的帧游标和离线 VAD 多余的空尾块。提供 `token_list` 时，SentencePiece 的 `ids2tokens` 返回模型词元，请用 `tokens2text` 转为文本；未提供 `token_list` 时保持旧有文本解码行为。[修复 #3849](https://github.com/modelscope/FunASR/pull/3849)、[修复 #3783](https://github.com/modelscope/FunASR/pull/3783)。安装：`python -m pip install -U "funasr==1.4.23"`。[发布说明与验证范围 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.23)
+  **FunASR 1.4.22** 支持逐调用覆盖 `merge_length_s`，并根据当前语音段时长逐帧更新动态 VAD 静音阈值，同时保留固定阈值模式。[修复 #3841](https://github.com/modelscope/FunASR/pull/3841)、[修复 #3833](https://github.com/modelscope/FunASR/pull/3833)。[发布说明与验证范围 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.22)
   **FunASR 1.4.21** 在流式标点收到空白或空输入时保留 cache；非空推理保持不变。[修复 #3824](https://github.com/modelscope/FunASR/pull/3824)。[发布说明与验证范围 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.21)
   **FunASR 1.4.20** 在指定 `spk_model` 而可选说话人依赖导入失败时，通过带原始异常链的 `ImportError` 提供诊断，同时保留仅 ASR 的构造路径。[修复 #3819](https://github.com/modelscope/FunASR/pull/3819)。[发布说明与验证范围 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.20)
   **FunASR 1.4.19** 修复 Paraformer 空 token 批次处理，使自动聚类遵守 `max_speakers` 上限，并为实时 WebSocket 服务新增带 JSON 对象校验的 `--hf_overrides` 参数。[发布说明与验证范围 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.19)

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==1.4.22`](https://github.com/modelscope/FunASR/releases/tag/v1.4.22).
+> [`funasr==1.4.23`](https://github.com/modelscope/FunASR/releases/tag/v1.4.23).
 > Any future breaking release still requires a maintainer-approved milestone and
 > migration plan.
 

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==1.4.22`](https://github.com/modelscope/FunASR/releases/tag/v1.4.22)。
+> 版本是 [`funasr==1.4.23`](https://github.com/modelscope/FunASR/releases/tag/v1.4.23)。
 > 任何未来的 breaking release 仍需 maintainer 确认 milestone 与迁移方案。
 
 ---

funasr/version.txt

@@ -1 +1 @@
-1.4.22
+1.4.23

tests/test_release_version_contract.py

@@ -4,17 +4,18 @@
 
 
 ROOT = Path(__file__).resolve().parents[1]
-RELEASE_VERSION = "1.4.22"
+RELEASE_VERSION = "1.4.23"
 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")
 @pytest.mark.parametrize("name", README_FILES)
-def test_release_summary_covers_per_call_merge_and_dynamic_silence(name):
+def test_release_summary_covers_no_lfr_and_tokenizer_vocabulary(name):
     summaries = [line for line in (ROOT / name).read_text(encoding="utf-8").splitlines()
                  if f"**FunASR {RELEASE_VERSION}**" in line]
     assert len(summaries) == 1
-    assert "merge_length_s" in summaries[0]
-    assert "https://github.com/modelscope/FunASR/pull/3841" in summaries[0]
-    assert "https://github.com/modelscope/FunASR/pull/3833" in summaries[0]
+    assert "lfr_m=lfr_n=1" in summaries[0]
+    assert "token_list" in summaries[0]
+    assert "https://github.com/modelscope/FunASR/pull/3849" in summaries[0]
+    assert "https://github.com/modelscope/FunASR/pull/3783" in summaries[0]