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English(EN) 🚀🎙️ Breaking news from the cutting-edge world of Text-To-Speech: Nari Labs has managed to make their latest model respond faster than the time it takes to blink

Nari Labs 的新 Qwen3 TTS 模型实现了低于 50 毫秒的响应时间

作者 PulseAugur 编辑部 · [2 个来源] ·

Nari Labs 开发了一款新的文本到语音模型 Qwen3，其响应时间不到 50 毫秒。这项速度上的突破是通过使用超级计算机和大量的研发投入实现的。该公司在其博客上强调了这一成就，并着重指出了该模型快速的响应时间。 AI

影响 文本到语音技术的这一发展可能导致在各种应用中实现更自然、响应更快的 AI 交互。

排序理由 该集群描述了一个新模型的发布，重点关注其技术能力和性能指标。

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Nari Labs 的新 Qwen3 TTS 模型实现了低于 50 毫秒的响应时间

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该集群描述了一个新模型的发布，重点关注其技术能力和性能指标。
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2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
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model release, product
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报道来源 [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    🚀🎙️文本转语音（Text-To-Speech）前沿领域突发新闻：Nari Labs 已成功使其最新模型响应速度超越眨眼时间

    🚀🎙️ Breaking news from the cutting-edge world of Text-To-Speech: Nari Labs has managed to make their latest model respond faster than the time it takes to blink! 😲💨 Of course, it only requires a supercomputer and enough research papers to choke an # AI . But hey, who needs practi…

    链接 nari-labs.com/…/qwen3-tts-speed-cost-fron… nari-labs.com/…/qwen3-tts-s
  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    我们如何让文本转语音模型响应时间低于50毫秒 https://nari-labs.com/blog/qwen3-tts-speed-cost-frontier/ # HackerNews # Tech # AI

    How We Made a Text-to-Speech Model Respond in Sub-50 ms https://nari-labs.com/blog/qwen3-tts-speed-cost-frontier/ # HackerNews # Tech # AI

    链接 nari-labs.com/…/qwen3-tts-speed-cost-fron…

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