mirror of
https://github.com/modelscope/FunASR.git
synced 2026-10-12 02:19:18 +00:00
Publish FunASR 1.4.16 bilingual site guide (#3721)
Publish bilingual 1.4.16 release pages, catalogue and sitemap entries, and exact release-asset contracts. Signed-off-by: LauraGPT <[email protected]>
This commit is contained in:
zhifu gao
@@ -24,6 +24,7 @@
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"blog/meeting-transcript-acceptance.html": "8173b3049ca707bdac46013748bc0ca7d9576ebf6f7ff6db6c940a833b12e4a9",
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@@ -66,6 +67,7 @@
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"en/blog/funasr-v1-4-16-submodel-device-release.html": "13fdb875229adff4d22c27ab05b2351baf46bec307c4dac4521b59cd26bbaa79",
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"en/blog/funasr-v1-4-3-pypi-release.html": "b9007b4e74de38a4a7a38ef6f3659336c16c2159d454f290e7e702a4d59cc4d5",
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"en/blog/funasr-v1-4-5-pypi-llama-cpp-release.html": "b5944d0d3dc7f845d6e8de155958ded3f0196571a65c9e11b5b01a7f9ea7ed6b",
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@@ -73,7 +75,7 @@
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"en/blog/generate-subtitles-srt-vtt-from-audio-video.html": "937777559f43f5722994cf32da8f13196eae3a04d1488c1948d66291ee904d32",
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"en/blog/index.html": "fe18072fb67da6b9cc274fa26b8dabc5854c426a9a38210bb2317219e8123900",
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"en/blog/index.html": "fa1cc01da835325a0d43e9715f227fa38d9ea1caeba0c9e1f17b989eb65a9684",
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"en/blog/japanese-speech-recognition.html": "c476adcc2be1ed7c19e2345cc91b8ee6a0e04efd794b9b6476dd5d9b3a2c8b04",
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"en/blog/lightweight-speech-recognition-cpu.html": "0e02c0e0853b12613d32c250f593c05c2052f18231207b63ee01d6e6600a86f7",
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"en/blog/meeting-transcript-acceptance.html": "ffc6eb2329267515bb367f21bb2d1c0523ff90d3f02b2e734ae41f78b02d0515",
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@@ -120,7 +122,7 @@
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"models.html": "fd4179a53735b8e034a1ee8e79fb78c6c66b6a6205c7124fcef7f4e0aaf92437",
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"sitemap.xml": "1fc88be1d337d7fac6acf0dd61e6b3416f6808f5d6e8fc0006fb9b15cba6e039",
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"sitemap.xml": "c855b97c31f76e5de5cc78c2450a180c230b4f34334927ac5dcc754f4b07e18a",
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"static/liveplayer/liveplayer-component.min.js": "ea10fda35574cc3a77a3e7187095467d1a409009a2d39690051d33d0e7055d30",
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"static/liveplayer/liveplayer-lib.min.js": "ad67b4e1188c586ec218674a6db9968daf71ed4fbc262258f061c1f931d54250",
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"static/offline/index.html": "868781c621ddabe5d3f088d6b739e0c08e6cdc150587af6515cc323852018e62",
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@@ -204,6 +204,19 @@
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"summary": ""
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}
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},
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{
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"slug": "funasr-v1-4-16-submodel-device-release",
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"category": "releases",
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"reviewed": true,
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"zh": {
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"title": "v1.4.16：混合设备子模型修复",
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"summary": "保持 VAD、标点和说话人子模型的显式设备配置，并补齐原生 Transformers 指南。"
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},
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"en": {
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"title": "v1.4.16: Mixed-device submodel fix",
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"summary": "Preserve explicit VAD, punctuation, and speaker placement, with tested native Transformers guides."
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}
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},
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{
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"slug": "funasr-v1-4-3-pypi-release",
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"category": "releases",
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@@ -0,0 +1,51 @@
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<!DOCTYPE html>
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<html lang="zh">
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<head>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width,initial-scale=1">
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<title>FunASR v1.4.16：混合设备子模型与原生 Transformers 指南 | FunASR</title>
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<meta name="description" content="FunASR v1.4.16 修复混合设备流水线中的 VAD、标点与说话人子模型设备保持，并发布经过测试的原生 Transformers 指南。">
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<meta name="keywords" content="FunASR v1.4.16,PyPI,AutoModel,submodel,混合设备,Transformers,llama.cpp">
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<link rel="icon" href="/logo.png">
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<meta property="og:title" content="FunASR v1.4.16：混合设备子模型与原生 Transformers 指南">
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<meta property="og:description" content="保持已加载子模型的设备放置，补齐标点行为说明与原生 Transformers 接入指南。">
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<meta property="og:type" content="article">
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<meta property="og:url" content="https://www.funasr.com/blog/funasr-v1-4-16-submodel-device-release.html">
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<meta property="og:image" content="https://www.funasr.com/img/banner.4f436d19.png">
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<link rel="canonical" href="https://www.funasr.com/blog/funasr-v1-4-16-submodel-device-release.html">
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<link rel="alternate" hreflang="en" href="https://www.funasr.com/en/blog/funasr-v1-4-16-submodel-device-release.html">
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<link rel="alternate" hreflang="zh" href="https://www.funasr.com/blog/funasr-v1-4-16-submodel-device-release.html">
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<link rel="alternate" hreflang="x-default" href="https://www.funasr.com/en/blog/funasr-v1-4-16-submodel-device-release.html">
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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap" rel="stylesheet">
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<script type="application/ld+json">
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{"@context":"https://schema.org","@type":"BlogPosting","headline":"FunASR v1.4.16：混合设备子模型与原生 Transformers 指南","description":"保持已加载子模型的设备放置，补齐标点行为说明与原生 Transformers 接入指南。","datePublished":"2026-09-18","dateModified":"2026-09-18","author":{"@type":"Organization","name":"FunASR / Tongyi Lab"},"publisher":{"@type":"Organization","name":"FunASR","logo":{"@type":"ImageObject","url":"https://www.funasr.com/logo.png"}},"mainEntityOfPage":{"@type":"WebPage","@id":"https://www.funasr.com/blog/funasr-v1-4-16-submodel-device-release.html"},"image":"https://www.funasr.com/img/banner.4f436d19.png"}
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</script>
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<style>
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:root{--primary:#2563eb;--primary-dark:#1d4ed8;--accent:#047857;--bg:#fff;--surface:#f8fafc;--border:#e2e8f0;--text:#0f172a;--text-soft:#475569;--text-muted:#94a3b8}
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*{margin:0;padding:0;box-sizing:border-box}body{font-family:'Inter',-apple-system,sans-serif;color:var(--text);line-height:1.7;background:var(--bg)}a{color:var(--primary);text-decoration:none}a:hover{text-decoration:underline}.container{max-width:800px;margin:0 auto;padding:0 24px}
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.nav{position:fixed;top:0;left:0;right:0;z-index:100;background:rgba(255,255,255,.94);backdrop-filter:blur(12px);border-bottom:1px solid var(--border);padding:14px 0}.nav .container{max-width:1120px;display:flex;align-items:center;gap:24px}.nav-logo{font-size:1.2rem;font-weight:800;color:var(--text)}.nav-logo span{color:var(--primary)}.nav-links{display:flex;gap:20px;margin-left:auto;flex-wrap:wrap}.nav-links a{font-size:.85rem;font-weight:500;color:var(--text-soft)}.nav-btn{padding:7px 16px;background:var(--primary);color:#fff;border-radius:7px;font-size:.83rem;font-weight:600}
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article{padding:116px 0 80px}h1{font-size:2rem;font-weight:800;line-height:1.3;margin-bottom:14px}h2{font-size:1.3rem;font-weight:700;margin:38px 0 14px;padding-top:18px;border-top:1px solid var(--border)}p{margin-bottom:14px;color:var(--text-soft)}ul{margin:0 0 16px 22px;color:var(--text-soft)}li{margin-bottom:7px}pre{background:#172033;color:#e2e8f0;padding:18px;border-radius:8px;overflow-x:auto;font-size:.82rem;line-height:1.7;margin:14px 0}code{font-family:ui-monospace,Menlo,monospace}p code,li code{background:var(--surface);padding:2px 6px;border-radius:5px;font-size:.85em;color:var(--primary-dark);overflow-wrap:anywhere;word-break:break-word}.post-meta{color:var(--text-muted);font-size:.85rem;margin-bottom:22px}.lead{font-size:1.05rem;color:var(--text);margin:22px 0}.hero-media{display:block;width:100%;aspect-ratio:2.04/1;object-fit:cover;border-radius:8px;border:1px solid var(--border);margin:0 0 24px}.proof{border-left:4px solid var(--accent);background:#f0fdf4;padding:14px 16px;margin:18px 0;color:#14532d}.cta{background:var(--surface);border:1px solid var(--border);border-radius:8px;padding:24px;margin:30px 0;text-align:center}.cta p{margin-bottom:16px}.cta a.btn{display:inline-block;padding:10px 22px;background:var(--primary);color:#fff;border-radius:7px;font-weight:600}footer{background:#0f172a;color:#94a3b8;padding:28px 0;text-align:center;font-size:.8rem}footer a{color:#94a3b8}@media(max-width:900px){.nav-links{display:none}.nav .container{gap:16px}.nav-logo{margin-right:auto}h1{font-size:1.65rem}}
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</style>
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</head>
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<body>
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<nav class="nav"><div class="container"><a href="/" class="nav-logo">Fun<span>ASR</span></a><div class="nav-links"><a href="/deploy/">部署</a><a href="/models.html">模型</a><a href="/benchmarks.html">性能</a><a href="/ecosystem.html">生态</a><a href="/blog/">博客</a></div><a href="/en/blog/funasr-v1-4-16-submodel-device-release.html" style="font-size:.83rem;font-weight:500;color:var(--text-soft)">EN</a><a href="/go/github" target="_blank" rel="noopener" class="nav-btn">GitHub ★</a></div></nav>
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<article><div class="container">
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<h1>FunASR v1.4.16：混合设备子模型与原生 Transformers 指南</h1>
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<p class="post-meta">2026-09-18 · FunASR 正式发布</p>
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<img class="hero-media" src="/img/banner.4f436d19.png?v=1.4.16" alt="FunASR v1.4.16 发布视觉图">
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<p class="lead">v1.4.16 让显式配置的 VAD、标点和说话人 submodel 在重复推理与运行时覆盖之间保持各自设备，并补齐标点行为和原生 Transformers 接入文档。</p>
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<h2>安装</h2>
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<pre><code>python -m pip install -U "funasr==1.4.16"</code></pre>
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<p>公开包位于 <a href="https://pypi.org/project/funasr/1.4.16/" target="_blank" rel="noopener">PyPI 1.4.16</a>。wheel SHA-256 为 <code>f95943f6a8111349a1b08907363b048a49e9cb9caa1e3afd8c92970d08bf450d</code>，sdist SHA-256 为 <code>1e2f8e3887fbc4b164cce40f73bf1324907da6ab59d1e8bf2add827f534c69e7</code>。</p>
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<h2>这次修复什么</h2>
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<ul><li><code>vad_kwargs</code>、<code>punc_kwargs</code> 与 <code>spk_kwargs</code> 的显式设备放置在重复调用中保持稳定。</li><li>运行时 <code>device</code> 覆盖不再改写已加载模型或调用方持有的子模型配置。</li><li>说话人推理使用说话人模型自身配置；中英文指南说明何时需要 CT-Transformer 标点后处理，以及如何验证原生 Transformers 路径。</li></ul>
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<div class="proof">设备回归由 CPU 权重替身与模拟加速器可用性验证；它覆盖配置传播、回退和重复调用，但不是 CUDA、MPS 或 NPU 性能认证。</div>
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<h2>签名源码与可校验资产</h2>
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<p>签名标签 <code>v1.4.16</code> 精确指向 <code>904cd18681b8083de5e1039bd0ecebc4f49ede60</code>。<a href="https://github.com/modelscope/FunASR/releases/tag/v1.4.16" target="_blank" rel="noopener">Release</a> 恰有 12 个资产：两个 Python 制品、九个来自 <a href="https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.6" target="_blank" rel="noopener">runtime-llamacpp-v0.2.6</a> 的独立版本运行时，以及一份清单。</p>
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<ul><li>Python：<code>funasr-1.4.16-py3-none-any.whl</code>、<code>funasr-1.4.16.tar.gz</code></li><li>Linux：<code>funasr-llamacpp-linux-arm64.tar.gz</code>、<code>funasr-llamacpp-linux-x64.tar.gz</code>、<code>funasr-llamacpp-linux-x64-avx2.tar.gz</code>、<code>funasr-llamacpp-linux-x64-vulkan.tar.gz</code></li><li>macOS：<code>funasr-llamacpp-macos-arm64.tar.gz</code></li><li>Windows：<code>funasr-llamacpp-windows-x64.zip</code>、<code>funasr-llamacpp-windows-x64-avx2.zip</code>、<code>funasr-llamacpp-windows-x64-cuda.zip</code>、<code>funasr-llamacpp-windows-x64-vulkan.zip</code></li><li>校验：<code>SHA256SUMS</code></li></ul>
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<p>九个原生运行时未携带本次 Python 修复；请先用清单校验，再在目标硬件和真实音频上验收。</p>
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<div class="cta"><p>从固定版本和校验清单开始复现。</p><a class="btn" href="https://github.com/modelscope/FunASR/releases/tag/v1.4.16" target="_blank" rel="noopener">查看 v1.4.16 的 12 个资产</a></div>
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</div></article>
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<footer><div class="container">© 2024-2026 Tongyi Lab, Alibaba Group · <a href="https://github.com/modelscope/FunASR/blob/main/LICENSE">MIT License</a></div></footer>
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</body>
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</html>
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@@ -49,6 +49,7 @@ footer a{color:#94a3b8}
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</style></head><body>
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<nav class="nav"><div class="container"><a href="/" class="nav-logo">Fun<span>ASR</span></a><div class="nav-links"><a href="/#capabilities">核心能力</a><a href="/#usage">如何使用</a><a href="/#benchmark">性能</a><a href="/#demo">演示</a><a href="https://modelscope.github.io/FunASR/zh/" target="_blank">文档</a><a href="/quickstart.html">快速上手</a><a href="/models.html">模型</a><a href="/ecosystem.html">生态</a><a href="/blog/">技术博客</a><a href="/vs-whisper.html">对比 Whisper</a><a href="/donors.html">功德榜</a></div><a href="https://www.funasr.com/en/blog/" style="font-size:0.83rem;font-weight:500;color:var(--text-soft)">EN</a><a href="/go/github" target="_blank" class="nav-btn">GitHub ★</a></div></nav>
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<section class="launch-feature"><a href="/blog/funclip-v2-2-0-moss-speaker-clipping.html"><div><span class="date">2026-08-31 · FunClip v2.2.0</span><h2>MOSS 多说话人转写进入 FunClip：从一句话到带说话人的片段</h2><p>通过经真实双说话人音频验证的 vLLM 路径，把第三方 MOSS 模型的段级时间戳和说话人标签直接用于 SRT 与说话人片段导出。</p></div><span class="action">查看部署与剪辑边界 →</span></a></section>
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<section class="previous-release"><div class="container"><a class="post-card" href="/blog/funasr-v1-4-16-submodel-device-release.html"><span class="date">2026-09-18 · 正式 Release</span><h2>FunASR v1.4.16：混合设备子模型与原生 Transformers 指南</h2><p>保持 VAD、标点和说话人子模型的显式设备配置，公开可校验的 PyPI 制品、九个运行时与清单。</p></a></div></section>
|
||||
<section class="previous-release"><div class="container"><a class="post-card" href="/blog/meeting-transcript-acceptance.html"><span class="date">2026-09-09 · 应用工程</span><h2>HTTP 200 不等于转写成功：会议录音的验收清单</h2><p>区分文本、匿名说话人、时间戳和尾部覆盖；用经过测试的 Python 检查器开始验收，不把结构合法当作质量合格。</p></a><a class="post-card" href="/blog/funasr-v1-4-14-portable-source-release.html"><span class="date">2026-09-04 · 正式 Release</span><h2>FunASR v1.4.14：可移植源码包、MOSS 入口与十平台运行时</h2><p>修复 Git archive 与源码安装的可移植性，补齐 MOSS 服务入口，并提供 PyPI 包、十平台运行时与 SHA-256 清单。</p></a><a class="post-card" href="/blog/funasr-v1-4-5-pypi-llama-cpp-release.html"><span class="date">2026-08-28 · 正式 Release</span><h2>FunASR v1.4.5：更轻的 Python 推理与九平台 llama.cpp 运行时</h2><p>默认安装不再硬依赖 torchaudio，可选 kaldi-native-fbank，并提供 PyPI 包、九平台运行时与 SHA-256 清单。</p></a><a class="post-card" href="/blog/funasr-v1-4-3-pypi-release.html"><span class="date">2026-08-21 · 正式 Release</span><h2>FunASR v1.4.3：可选 Silero VAD 与大规模固定 K 说话人聚类</h2><p>新增毫秒级 Silero VAD 适配器，降低已知说话人数的大规模聚类内存压力，并提供 12 个带 SHA-256 的发布资产。</p></a><a class="post-card" href="/blog/funasr-v1-4-0-pypi-release.html"><span class="date">2026-07-31 · 正式 Release</span><h2>FunASR v1.4.0：更完整的 PyPI 安装包与更安全的 AutoModel 参数</h2><p>修复 SenseVoice 与 RWKV-BAT 包数据，提前拒绝 vda_model 误拼写，并提供 12 个带 SHA-256 的发布资产。</p></a></div></section>
|
||||
<section class="ecosystem-feature"><div class="container"><a class="post-card" href="/blog/fun-asr-nano-transformers.html"><span class="date">2026-09-09 · 生态技术与应用</span><h2>Fun-ASR-Nano + Transformers：先选对权重，再接入应用</h2><p>原生 Transformers 支持已合并：分清 -hf、原始权重、vLLM 和 GGUF，理解音频预处理、生成结果与应用验收，附固定版本接入指南。</p></a></div></section>
|
||||
<section class="ecosystem-feature"><div class="container"><a class="post-card" href="/blog/subtitle-edit-fun-asr-sensevoice-local-subtitles.html"><span class="date">2026-08-03 · 生态集成</span><h2>Subtitle Edit 5.2：Fun-ASR Nano / SenseVoice 本地视频字幕</h2><p>在 Windows、macOS 与 Linux 的成熟字幕工作区中直接选择本地 ASR 引擎，支持 Q4、Q8、F16。</p></a></div></section>
|
||||
|
||||
@@ -0,0 +1,51 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<meta name="viewport" content="width=device-width,initial-scale=1">
|
||||
<title>FunASR v1.4.16: Mixed-device Submodels and Native Transformers Guides | FunASR</title>
|
||||
<meta name="description" content="FunASR v1.4.16 preserves device placement for VAD, punctuation, and speaker submodels in mixed-device pipelines and adds tested native Transformers guides.">
|
||||
<meta name="keywords" content="FunASR v1.4.16,PyPI,AutoModel,submodel,mixed device,Transformers,llama.cpp">
|
||||
<link rel="icon" href="/logo.png">
|
||||
<meta property="og:title" content="FunASR v1.4.16: Mixed-device Submodels and Native Transformers Guides">
|
||||
<meta property="og:description" content="Preserve loaded submodel placement, clarify punctuation behavior, and follow tested native Transformers guides.">
|
||||
<meta property="og:type" content="article">
|
||||
<meta property="og:url" content="https://www.funasr.com/en/blog/funasr-v1-4-16-submodel-device-release.html">
|
||||
<meta property="og:image" content="https://www.funasr.com/img/banner.4f436d19.png">
|
||||
<link rel="canonical" href="https://www.funasr.com/en/blog/funasr-v1-4-16-submodel-device-release.html">
|
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<link rel="alternate" hreflang="en" href="https://www.funasr.com/en/blog/funasr-v1-4-16-submodel-device-release.html">
|
||||
<link rel="alternate" hreflang="zh" href="https://www.funasr.com/blog/funasr-v1-4-16-submodel-device-release.html">
|
||||
<link rel="alternate" hreflang="x-default" href="https://www.funasr.com/en/blog/funasr-v1-4-16-submodel-device-release.html">
|
||||
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap" rel="stylesheet">
|
||||
<script type="application/ld+json">
|
||||
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|
||||
</script>
|
||||
<style>
|
||||
:root{--primary:#2563eb;--primary-dark:#1d4ed8;--accent:#047857;--bg:#fff;--surface:#f8fafc;--border:#e2e8f0;--text:#0f172a;--text-soft:#475569;--text-muted:#94a3b8}
|
||||
*{margin:0;padding:0;box-sizing:border-box}body{font-family:'Inter',-apple-system,sans-serif;color:var(--text);line-height:1.7;background:var(--bg)}a{color:var(--primary);text-decoration:none}a:hover{text-decoration:underline}.container{max-width:800px;margin:0 auto;padding:0 24px}
|
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.nav{position:fixed;top:0;left:0;right:0;z-index:100;background:rgba(255,255,255,.94);backdrop-filter:blur(12px);border-bottom:1px solid var(--border);padding:14px 0}.nav .container{max-width:1120px;display:flex;align-items:center;gap:24px}.nav-logo{font-size:1.2rem;font-weight:800;color:var(--text)}.nav-logo span{color:var(--primary)}.nav-links{display:flex;gap:20px;margin-left:auto;flex-wrap:wrap}.nav-links a{font-size:.85rem;font-weight:500;color:var(--text-soft)}.nav-btn{padding:7px 16px;background:var(--primary);color:#fff;border-radius:7px;font-size:.83rem;font-weight:600}
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article{padding:116px 0 80px}h1{font-size:2rem;font-weight:800;line-height:1.3;margin-bottom:14px}h2{font-size:1.3rem;font-weight:700;margin:38px 0 14px;padding-top:18px;border-top:1px solid var(--border)}p{margin-bottom:14px;color:var(--text-soft)}ul{margin:0 0 16px 22px;color:var(--text-soft)}li{margin-bottom:7px}pre{background:#172033;color:#e2e8f0;padding:18px;border-radius:8px;overflow-x:auto;font-size:.82rem;line-height:1.7;margin:14px 0}code{font-family:ui-monospace,Menlo,monospace}p code,li code{background:var(--surface);padding:2px 6px;border-radius:5px;font-size:.85em;color:var(--primary-dark);overflow-wrap:anywhere;word-break:break-word}.post-meta{color:var(--text-muted);font-size:.85rem;margin-bottom:22px}.lead{font-size:1.05rem;color:var(--text);margin:22px 0}.hero-media{display:block;width:100%;aspect-ratio:2.04/1;object-fit:cover;border-radius:8px;border:1px solid var(--border);margin:0 0 24px}.proof{border-left:4px solid var(--accent);background:#f0fdf4;padding:14px 16px;margin:18px 0;color:#14532d}.cta{background:var(--surface);border:1px solid var(--border);border-radius:8px;padding:24px;margin:30px 0;text-align:center}.cta p{margin-bottom:16px}.cta a.btn{display:inline-block;padding:10px 22px;background:var(--primary);color:#fff;border-radius:7px;font-weight:600}footer{background:#0f172a;color:#94a3b8;padding:28px 0;text-align:center;font-size:.8rem}footer a{color:#94a3b8}@media(max-width:900px){.nav-links{display:none}.nav .container{gap:16px}.nav-logo{margin-right:auto}h1{font-size:1.65rem}}
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</style>
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</head>
|
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<body>
|
||||
<nav class="nav"><div class="container"><a href="/en/" class="nav-logo">Fun<span>ASR</span></a><div class="nav-links"><a href="/en/deploy/">Deploy</a><a href="/en/models.html">Models</a><a href="/en/benchmarks.html">Benchmarks</a><a href="/en/ecosystem.html">Ecosystem</a><a href="/en/blog/">Blog</a></div><a href="/blog/funasr-v1-4-16-submodel-device-release.html" style="font-size:.83rem;font-weight:500;color:var(--text-soft)">中文</a><a href="/go/github" target="_blank" rel="noopener" class="nav-btn">GitHub ★</a></div></nav>
|
||||
<article><div class="container">
|
||||
<h1>FunASR v1.4.16: Mixed-device Submodels and Native Transformers Guides</h1>
|
||||
<p class="post-meta">September 18, 2026 · Stable FunASR release</p>
|
||||
<img class="hero-media" src="/img/banner.4f436d19.png?v=1.4.16" alt="FunASR v1.4.16 release visual">
|
||||
<p class="lead">v1.4.16 keeps explicitly configured VAD, punctuation, and speaker submodels on their own devices across repeated inference and runtime overrides, while adding clearer punctuation and native Transformers guidance.</p>
|
||||
<h2>Install</h2>
|
||||
<pre><code>python -m pip install -U "funasr==1.4.16"</code></pre>
|
||||
<p>The public distributions are on <a href="https://pypi.org/project/funasr/1.4.16/" target="_blank" rel="noopener">PyPI 1.4.16</a>. The wheel SHA-256 is <code>f95943f6a8111349a1b08907363b048a49e9cb9caa1e3afd8c92970d08bf450d</code>; the sdist SHA-256 is <code>1e2f8e3887fbc4b164cce40f73bf1324907da6ab59d1e8bf2add827f534c69e7</code>.</p>
|
||||
<h2>What changed</h2>
|
||||
<ul><li>Explicit device placement in <code>vad_kwargs</code>, <code>punc_kwargs</code>, and <code>spk_kwargs</code> stays stable across repeated calls.</li><li>Runtime <code>device</code> overrides no longer mutate loaded models or caller-owned submodel configuration.</li><li>Speaker inference uses its own model configuration; English and Chinese guides explain when CT-Transformer punctuation postprocessing is needed and how to validate native Transformers paths.</li></ul>
|
||||
<div class="proof">Device regressions use CPU-resident stand-in weights and mocked accelerator availability. They cover propagation, fallback, and repeated calls; they are not CUDA, MPS, or NPU performance certification.</div>
|
||||
<h2>Signed source and verifiable assets</h2>
|
||||
<p>The signed <code>v1.4.16</code> tag resolves exactly to <code>904cd18681b8083de5e1039bd0ecebc4f49ede60</code>. The <a href="https://github.com/modelscope/FunASR/releases/tag/v1.4.16" target="_blank" rel="noopener">Release</a> has exactly 12 assets: two Python distributions, nine independently versioned runtimes from <a href="https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.6" target="_blank" rel="noopener">runtime-llamacpp-v0.2.6</a>, and one manifest.</p>
|
||||
<ul><li>Python: <code>funasr-1.4.16-py3-none-any.whl</code>, <code>funasr-1.4.16.tar.gz</code></li><li>Linux: <code>funasr-llamacpp-linux-arm64.tar.gz</code>, <code>funasr-llamacpp-linux-x64.tar.gz</code>, <code>funasr-llamacpp-linux-x64-avx2.tar.gz</code>, <code>funasr-llamacpp-linux-x64-vulkan.tar.gz</code></li><li>macOS: <code>funasr-llamacpp-macos-arm64.tar.gz</code></li><li>Windows: <code>funasr-llamacpp-windows-x64.zip</code>, <code>funasr-llamacpp-windows-x64-avx2.zip</code>, <code>funasr-llamacpp-windows-x64-cuda.zip</code>, <code>funasr-llamacpp-windows-x64-vulkan.zip</code></li><li>Verification: <code>SHA256SUMS</code></li></ul>
|
||||
<p>The nine native runtimes do not contain this Python fix. Verify the manifest first, then validate on target hardware with representative audio.</p>
|
||||
<div class="cta"><p>Start from a pinned version and the checksum manifest.</p><a class="btn" href="https://github.com/modelscope/FunASR/releases/tag/v1.4.16" target="_blank" rel="noopener">Open all 12 v1.4.16 assets</a></div>
|
||||
</div></article>
|
||||
<footer><div class="container">© 2024-2026 Tongyi Lab, Alibaba Group · <a href="https://github.com/modelscope/FunASR/blob/main/LICENSE">MIT License</a></div></footer>
|
||||
</body>
|
||||
</html>
|
||||
@@ -49,6 +49,7 @@ footer a{color:#94a3b8}
|
||||
</style></head><body>
|
||||
<nav class="nav"><div class="container"><a href="/en/" class="nav-logo">Fun<span>ASR</span></a><div class="nav-links"><a href="/en/#capabilities">Capabilities</a><a href="/en/#usage">How to Use</a><a href="/en/#benchmark">Benchmark</a><a href="/en/#demo">Demo</a><a href="https://modelscope.github.io/FunASR/" target="_blank">Docs</a><a href="/en/quickstart.html">Quickstart</a><a href="/en/models.html">Models</a><a href="/en/ecosystem.html">Ecosystem</a><a href="/en/blog/">Blog</a><a href="/en/vs-whisper.html">vs Whisper</a><a href="/en/donors.html">Thanks</a></div><a href="https://www.funasr.com/blog/" style="font-size:0.83rem;font-weight:500;color:var(--text-soft)">中文</a><a href="/go/github" target="_blank" class="nav-btn">GitHub ★</a></div></nav>
|
||||
<section class="launch-feature"><a href="/en/blog/funclip-v2-2-0-moss-speaker-clipping.html"><div><span class="date">August 31, 2026 · FunClip v2.2.0</span><h2>MOSS Multi-Speaker Transcription in FunClip: From One Prompt to Speaker Clips</h2><p>Use the vLLM path validated on real two-speaker audio to turn the third-party MOSS model's segment timestamps and speaker labels into SRT and speaker-specific clip exports.</p></div><span class="action">Read the deployment and clipping boundaries →</span></a></section>
|
||||
<section class="previous-release"><div class="container"><a class="post-card" href="/en/blog/funasr-v1-4-16-submodel-device-release.html"><span class="date">September 18, 2026 · Stable release</span><h2>FunASR v1.4.16: Mixed-device Submodels and Native Transformers Guides</h2><p>Preserve explicit VAD, punctuation, and speaker placement, with verifiable PyPI artifacts, nine runtimes, and a checksum manifest.</p></a></div></section>
|
||||
<section class="previous-release"><div class="container"><a class="post-card" href="/en/blog/meeting-transcript-acceptance.html"><span class="date">2026-09-09 · Application engineering</span><h2>HTTP 200 is not a usable transcript: a meeting-audio acceptance checklist</h2><p>Separate words, anonymous speakers, timestamps and tail coverage. Start with a tested Python checker without mistaking structural validity for quality.</p></a><a class="post-card" href="/en/blog/funasr-v1-4-14-portable-source-release.html"><span class="date">September 4, 2026 · Stable release</span><h2>FunASR v1.4.14: Portable Source Archives, MOSS Discovery, and Ten Runtimes</h2><p>Portable Git archives and source installs, clearer MOSS service discovery, plus PyPI packages, ten runtimes, and SHA-256 checksums.</p></a><a class="post-card" href="/en/blog/funasr-v1-4-5-pypi-llama-cpp-release.html"><span class="date">August 28, 2026 · Stable release</span><h2>FunASR v1.4.5: Lighter Python Inference and Nine llama.cpp Runtimes</h2><p>No hard torchaudio dependency in the default install, optional kaldi-native-fbank, plus PyPI packages, nine runtimes, and SHA-256 checksums.</p></a><a class="post-card" href="/en/blog/funasr-v1-4-3-pypi-release.html"><span class="date">August 21, 2026 · Stable release</span><h2>FunASR v1.4.3: Optional Silero VAD and Fixed-K Speaker Clustering</h2><p>Millisecond Silero VAD segments, lower-memory clustering for large known-speaker workloads, and 12 SHA-256-addressed release assets.</p></a><a class="post-card" href="/en/blog/funasr-v1-4-0-pypi-release.html"><span class="date">July 31, 2026 · Stable release</span><h2>FunASR v1.4.0: Complete PyPI Packages and Safer AutoModel Arguments</h2><p>SenseVoice and RWKV-BAT package-data fixes, an early vda_model typo guard, and 12 SHA-256-addressed release assets.</p></a></div></section>
|
||||
<section class="ecosystem-feature"><div class="container"><a class="post-card" href="/en/blog/fun-asr-nano-transformers.html"><span class="date">2026-09-09 · Ecosystem engineering</span><h2>Fun-ASR-Nano + Transformers: choose the checkpoint before the API</h2><p>Native Transformers support has merged. Separate -hf, original, vLLM and GGUF artifacts, understand preprocessing and generation, and follow a pinned application guide.</p></a></div></section>
|
||||
<section class="ecosystem-feature"><div class="container"><a class="post-card" href="/en/blog/subtitle-edit-fun-asr-sensevoice-local-subtitles.html"><span class="date">August 3, 2026 · Ecosystem</span><h2>Subtitle Edit 5.2: Local Video Subtitles with Fun-ASR Nano or SenseVoice</h2><p>Select a local ASR engine inside a mature subtitle workspace on Windows, macOS, or Linux, with Q4, Q8, and F16 models.</p></a></div></section>
|
||||
|
||||
@@ -16,6 +16,8 @@
|
||||
<url><loc>https://www.funasr.com/en/blog/funclip-v2-2-0-moss-speaker-clipping.html</loc><lastmod>2026-08-31</lastmod><priority>0.9</priority><changefreq>monthly</changefreq></url>
|
||||
<url><loc>https://www.funasr.com/blog/funasr-v1-4-14-portable-source-release.html</loc><lastmod>2026-09-04</lastmod><priority>0.9</priority><changefreq>monthly</changefreq></url>
|
||||
<url><loc>https://www.funasr.com/en/blog/funasr-v1-4-14-portable-source-release.html</loc><lastmod>2026-09-04</lastmod><priority>0.9</priority><changefreq>monthly</changefreq></url>
|
||||
<url><loc>https://www.funasr.com/blog/funasr-v1-4-16-submodel-device-release.html</loc><lastmod>2026-09-18</lastmod><priority>0.9</priority><changefreq>monthly</changefreq></url>
|
||||
<url><loc>https://www.funasr.com/en/blog/funasr-v1-4-16-submodel-device-release.html</loc><lastmod>2026-09-18</lastmod><priority>0.9</priority><changefreq>monthly</changefreq></url>
|
||||
<url><loc>https://www.funasr.com/blog/funasr-v1-4-5-pypi-llama-cpp-release.html</loc><lastmod>2026-08-28</lastmod><priority>0.9</priority><changefreq>monthly</changefreq></url>
|
||||
<url><loc>https://www.funasr.com/en/blog/funasr-v1-4-5-pypi-llama-cpp-release.html</loc><lastmod>2026-08-28</lastmod><priority>0.9</priority><changefreq>monthly</changefreq></url>
|
||||
<url><loc>https://www.funasr.com/blog/funasr-v1-4-0-pypi-release.html</loc><lastmod>2026-07-31</lastmod><priority>0.9</priority><changefreq>monthly</changefreq></url>
|
||||
|
||||
@@ -78,7 +78,7 @@ for (const prefix of ['', 'en/']) {
|
||||
}
|
||||
await page.locator(`[data-blog-more] a[href="/${prefix}blog/archive/"]`).click();
|
||||
const archive = page.locator('[data-blog-view="archive"]');
|
||||
await expect(archive.locator('[data-blog-story]')).toHaveCount(36);
|
||||
await expect(archive.locator('[data-blog-story]')).toHaveCount(37);
|
||||
await page.screenshot({ path: testInfo.outputPath('archive.png') });
|
||||
await archive.locator(`a[href="/${prefix}blog/self-hosted-deepgram-assemblyai-alternative.html"]`).click();
|
||||
await expect(page.locator('article h1')).toBeVisible();
|
||||
|
||||
@@ -339,6 +339,59 @@ def test_v140_release_pages_are_bilingual_indexed_and_precise():
|
||||
assert f'https://www.funasr.com/en/blog/{slug}' in sitemap
|
||||
|
||||
|
||||
def test_v1416_release_pages_are_bilingual_indexed_and_precise():
|
||||
slug = 'funasr-v1-4-16-submodel-device-release.html'
|
||||
pages = {
|
||||
'zh': LEGACY / 'blog' / slug,
|
||||
'en': LEGACY / 'en' / 'blog' / slug,
|
||||
}
|
||||
release_assets = {
|
||||
'SHA256SUMS',
|
||||
'funasr-1.4.16-py3-none-any.whl',
|
||||
'funasr-1.4.16.tar.gz',
|
||||
'funasr-llamacpp-linux-arm64.tar.gz',
|
||||
'funasr-llamacpp-linux-x64-avx2.tar.gz',
|
||||
'funasr-llamacpp-linux-x64-vulkan.tar.gz',
|
||||
'funasr-llamacpp-linux-x64.tar.gz',
|
||||
'funasr-llamacpp-macos-arm64.tar.gz',
|
||||
'funasr-llamacpp-windows-x64-avx2.zip',
|
||||
'funasr-llamacpp-windows-x64-cuda.zip',
|
||||
'funasr-llamacpp-windows-x64-vulkan.zip',
|
||||
'funasr-llamacpp-windows-x64.zip',
|
||||
}
|
||||
|
||||
for language, path in pages.items():
|
||||
text = path.read_text(encoding='utf-8')
|
||||
soup = BeautifulSoup(text, 'html.parser')
|
||||
assert 'funasr==1.4.16' in text
|
||||
assert '904cd18681b8083de5e1039bd0ecebc4f49ede60' in text
|
||||
assert 'f95943f6a8111349a1b08907363b048a49e9cb9caa1e3afd8c92970d08bf450d' in text
|
||||
assert '1e2f8e3887fbc4b164cce40f73bf1324907da6ab59d1e8bf2add827f534c69e7' in text
|
||||
assert 'https://pypi.org/project/funasr/1.4.16/' in text
|
||||
assert 'https://github.com/modelscope/FunASR/releases/tag/v1.4.16' in text
|
||||
assert 'submodel' in text.lower()
|
||||
assert 'blackwell' not in text.lower()
|
||||
asset_codes = {
|
||||
code.get_text(strip=True)
|
||||
for code in soup.select('code')
|
||||
if code.get_text(strip=True).startswith(('funasr-', 'SHA256SUMS'))
|
||||
}
|
||||
assert asset_codes == release_assets
|
||||
expected_route = f'/{"" if language == "zh" else "en/"}blog/{slug}'
|
||||
assert soup.select_one('link[rel="canonical"]')['href'].endswith(expected_route)
|
||||
peer_route = f'/{"en/" if language == "zh" else ""}blog/{slug}'
|
||||
peer_language = 'en' if language == 'zh' else 'zh'
|
||||
assert soup.select_one(f'link[rel="alternate"][hreflang="{peer_language}"]')['href'].endswith(peer_route)
|
||||
|
||||
zh_index = (LEGACY / 'blog' / 'index.html').read_text(encoding='utf-8')
|
||||
en_index = (LEGACY / 'en' / 'blog' / 'index.html').read_text(encoding='utf-8')
|
||||
sitemap = (LEGACY / 'sitemap.xml').read_text(encoding='utf-8')
|
||||
assert f'/blog/{slug}' in zh_index
|
||||
assert f'/en/blog/{slug}' in en_index
|
||||
assert f'https://www.funasr.com/blog/{slug}' in sitemap
|
||||
assert f'https://www.funasr.com/en/blog/{slug}' in sitemap
|
||||
|
||||
|
||||
def test_v145_release_pages_are_bilingual_indexed_and_operational():
|
||||
slug = 'funasr-v1-4-5-pypi-llama-cpp-release.html'
|
||||
pages = {
|
||||
|
||||
Reference in New Issue
Block a user