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English(EN) 🎨 Where open-source stands in text to speech: #55 Kokoro 82M v1.0 — the best model you can actually download 264 ELO points behind Eleven v4 Turbo (ElevenLabs)

开源TTS模型Kokoro 82M v1.0发布，落后于ElevenLabs

作者 PulseAugur 编辑部 · [1 个来源] ·

开源文本转语音模型Kokoro 82M v1.0已发布，成为领先的可下载选项。虽然表现良好，但在盲人偏好测试中，其ELO评分比ElevenLabs的Eleven v4 Turbo低264分。 AI

影响 提供了一个新的开源文本转语音选项，但目前在人类偏好方面落后于商业产品。

排序理由 发布了一个开源模型并进行了基准测试比较。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

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

开源TTS模型Kokoro 82M v1.0发布，落后于ElevenLabs

本文如何被排名

Signal score
15 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
发布了一个开源模型并进行了基准测试比较。[lever_c_demoted from research: ic=1 ai=1.0]
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
model release, product
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]

  1. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    🎨 开源文本转语音技术现状：#55 Kokoro 82M v1.0 — 你可以下载到的最佳模型，比 ElevenLabs 的 Eleven v4 Turbo 落后 264 ELO 分

    🎨 Where open-source stands in text to speech: #55 Kokoro 82M v1.0 — the best model you can actually download 264 ELO points behind Eleven v4 Turbo (ElevenLabs) Blind human preference, not marketing → https:// olud.ai/media-leaderboard.html # OpenSource # GenerativeAI # StableDiff…

    链接 olud.ai/media-leaderboard.html

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