From ca3957e2737daeeb14302134100a57b78950a6a3 Mon Sep 17 00:00:00 2001 From: zhifu gao Date: Sun, 19 Jul 2026 01:06:30 +0000 Subject: [PATCH] docs: announce FunASR 1.3.18 --- README.md | 1 + README_zh.md | 1 + 2 files changed, 2 insertions(+) diff --git a/README.md b/README.md index 0f536d825..a95b8b3ae 100644 --- a/README.md +++ b/README.md @@ -288,6 +288,7 @@ hf download FunAudioLLM/fsmn-vad-GGUF fsmn-vad.gguf --local-dir .\gguf ## What's new +- 2026/07/19: **v1.3.18 on PyPI** — CLI SRT/TSV subtitle output now requests sentence timestamps and loads punctuation when needed, so `funasr audio.wav --output-format srt --output-dir ./subs` writes segmented subtitle cues instead of one full-text block. Install with `python -m pip install -U "funasr==1.3.18"`. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.3.18) - 2026/07/18: **v1.3.16 on PyPI** — client-driven realtime endpoints for Fun-ASR-Nano. Start one WebSocket session, stream PCM, and send `COMMIT` for each utterance without loading server-side VAD; short utterances finalize and timestamps remain monotonic across commits. Install with `pip install --upgrade funasr`, then run `funasr-realtime-server --endpoint-mode client`. [Guide →](examples/industrial_data_pretraining/fun_asr_nano/docs/realtime_demo.md) - 2026/07/18: **llama.cpp runtime v0.1.7** — prebuilt Windows CUDA package for SenseVoiceSmall (`funasr-llamacpp-windows-x64-cuda.zip`) plus Linux / macOS / Windows CPU packages. Download the GGUF model, then run `llama-funasr-sensevoice ... --backend cuda` on supported NVIDIA GPUs. [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.7) - 2026/06/20: **llama.cpp / GGUF runtime** — run SenseVoice / Paraformer / Fun-ASR-Nano on CPU & edge as a single self-contained binary (a whisper.cpp-style alternative), built-in FSMN-VAD, no Python at runtime. Prebuilt binaries for Linux / macOS / Windows + **q8 quantized models (~half the size, same accuracy)**. [runtime/llama.cpp/](./runtime/llama.cpp/) · [Releases](../../releases) diff --git a/README_zh.md b/README_zh.md index 902acb41c..82f2d9abf 100644 --- a/README_zh.md +++ b/README_zh.md @@ -132,6 +132,7 @@ Whisper 是单个模型，**FunASR 是一个工具箱**——按场景挑模型 ## 最新动态 +- 2026/07/19：**v1.3.18 已发布到 PyPI** — CLI 的 SRT/TSV 字幕输出现在会请求句级时间戳，并在需要时加载标点模型；`funasr audio.wav --output-format srt --output-dir ./subs` 会输出分句字幕，不再退化成一个全文字幕块。安装命令：`python -m pip install -U "funasr==1.3.18"`。[发布页 →](https://github.com/modelscope/FunASR/releases/tag/v1.3.18) - 2026/07/18：**v1.3.16 已发布到 PyPI** — Fun-ASR-Nano 实时服务新增客户端分句模式。一个 WebSocket 会话可连续发送 PCM，并用 `COMMIT` 提交每个句子；无需加载服务端 VAD，短句可正常结束，多轮时间戳保持递增。执行 `pip install --upgrade funasr` 后，可用 `funasr-realtime-server --endpoint-mode client` 启动。[使用文档 →](examples/industrial_data_pretraining/fun_asr_nano/docs/realtime_demo.md) - 2026/07/18：**llama.cpp runtime v0.1.7** — 新增 SenseVoiceSmall 的 Windows CUDA 预编译包 `funasr-llamacpp-windows-x64-cuda.zip`，并保留 Linux / macOS / Windows CPU 包。下载 GGUF 模型后，可在支持的 NVIDIA GPU 上运行 `llama-funasr-sensevoice ... --backend cuda`。[发布页 →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.7) - 2026/05/24：**vLLM 推理引擎** — Fun-ASR-Nano 解码加速 2-3 倍。支持流式 WebSocket 服务（VAD + 说话人分离 + 热词）。[文档 →](docs/vllm_guide_zh.md) · [实时 WS 调优 →](docs/vllm_guide_zh.md#67-生产并发与多进程部署) · [API 稳定性清单 →](docs/vllm_guide_zh.md#生产-api-稳定性清单)