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SteerTTS: New 23M-param TTS model runs on CPU with real-time steering

By PulseAugur Editorial · [1 sources] ·

A new text-to-speech (TTS) model called SteerTTS has been developed, featuring 23 million parameters and the ability to run in real-time on a CPU. This model offers 12 distinct steerable controls, allowing users to adjust parameters like pitch, rate, and loudness using z-scores. While it demonstrates strong performance in certain areas, the developers note limitations in loudness and pitch control, as well as lower similarity in voice cloning and challenges with prompt negation. AI

IMPACT This model offers a steerable, real-time TTS solution that can run on consumer hardware, potentially enabling more dynamic voice applications.

RANK_REASON The cluster describes a new model release with technical details and performance metrics, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

SteerTTS: New 23M-param TTS model runs on CPU with real-time steering

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The cluster describes a new model release with technical details and performance metrics, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Working_Hat5120 ·

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

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