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Open-source tiny-voca TTS model runs 70x faster than real-time on CPU

By PulseAugur Editorial · [1 sources] ·

A new, fully open-source text-to-speech model named tiny-voca has been released. This model boasts 4.5 million parameters, making it exceptionally small at 18MB, and can run approximately 70 times faster than real-time on a standard CPU. It offers two distinct voices and is designed to run directly in a browser or via PyTorch and ONNX, with its training completed in under 8 hours on a single RTX 4090. AI

IMPACT Provides a highly efficient and accessible text-to-speech solution for developers and users.

RANK_REASON Release of an open-source model with technical details and performance metrics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

Open-source tiny-voca TTS model runs 70x faster than real-time on CPU

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Signal score
15 / 100
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Tool
Release of an open-source model with technical details and performance metrics. [lever_c_demoted from research: ic=1 ai=1.0]
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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
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/nato_nob ·

    tiny-voca: a fully open 4.5M-parameter TTS (code, weights, dataset). Runs 70x real time on a CPU

    <!-- SC_OFF --><div class="md"><p>I made a small English text-to-speech model called tiny-voca. It has 4.5M parameters, two voices, and it runs in your browser. </p> <p>Try it here, nothing is sent to a server: <a href="https://tiny-voca.n4ze3m.com">https://tiny-voca.n4ze3m.com</…

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