English(EN) Whats the best ASR model with Speaker diarisation?

Reddit用户寻求最佳带说话人分离的ASR模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-31 15:42

r/LocalLLaMA subreddit上的一位用户正在寻求推荐一款支持说话人分离的最佳自动语音识别（ASR）模型。他们之前使用过vibevoice，但发现它资源消耗大，正在寻找更准确、更高效的替代方案。该用户正在浏览Hugging Face的公开ASR排行榜和社区经验，以找到适合转录一小时长咨询录音的模型。 AI

排序理由用户在特定subreddit上生成的内容，询问关于技术主题的推荐，而非主要来源公告或重大行业事件。

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Meme; 用户在特定subreddit上生成的内容，询问关于技术主题的推荐，而非主要来源公告或重大行业事件。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

r/LocalLLaMA TIER_1 English(EN) · /u/GotHereLateNameTaken · 2026-08-31 15:42

哪款ASR模型在说话人分离方面表现最佳？

<div class="md"><p>I'm working with recordings of hour long consultations. I have been using vibevoice for the last few months with good results. Its kind of heavy and takes a while, and we can always see accuracy improvements, so I wanted to check in if there was …

本文如何被排名

报道来源 [1]

哪款ASR模型在说话人分离方面表现最佳？

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