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English(EN) SteerTTS: 23M-param English TTS you steer with numbers (pitch, rate, loudness, etc. as z-scores), runs real-time on CPU [P]

SteerTTS:新的2300万参数TTS模型可在CPU上运行并进行实时控制

一款名为SteerTTS的新文本转语音(TTS)模型已被开发出来,它拥有2300万个参数,并能在CPU上实时运行。该模型提供12种不同的可控参数,允许用户使用z分数调整音高、语速和响度等参数。虽然它在某些方面表现出色,但开发者也指出了在响度和音高控制方面的局限性,以及语音克隆相似度较低和在提示否定方面存在挑战。 AI

影响 该模型提供了一个可控的、实时的TTS解决方案,可以在消费级硬件上运行,有可能实现更具动态性的语音应用。

排序理由 该集群描述了一个具有技术细节和性能指标的新模型发布,属于研究类别。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/MachineLearning 阅读 →

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

SteerTTS:新的2300万参数TTS模型可在CPU上运行并进行实时控制

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Tool
该集群描述了一个具有技术细节和性能指标的新模型发布,属于研究类别。[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.
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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. r/MachineLearning TIER_1 English(EN) · /u/Working_Hat5120 ·

    SteerTTS:2300万参数英文TTS,可用数字(音高、语速、响度等z分数)控制,CPU实时运行[P]

    <!-- SC_OFF --><div class="md"><p>I was looking for small TTS model which is steerable but couldn't find any, specially something I can adjust contextually by providing controls from LLM during a conversation. So I built one.</p> <p><strong>What it is:</strong></p> <ul> <li>9.6M-…