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Tontaube V1.1: Open-weights TTS model with voice cloning released

By PulseAugur Editorial · [1 sources] ·

Tontaube V1.1 is an open-weights text-to-speech model designed for long-form audio generation, featuring zero-shot voice cloning capabilities. This updated version is optimized for accessibility, with a 4-bit quantized model requiring only 4 GB of VRAM or running in near real-time on a desktop CPU. The model offers control over speaking rate, pauses, intonation, pitch, and articulation, and has demonstrated superior prosody compared to other models in blind listening studies. AI

IMPACT Provides a more accessible, high-quality TTS solution for long-form audio generation and voice cloning applications.

RANK_REASON Release of an open-weights model with performance claims and technical details. [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 →

Tontaube V1.1: Open-weights TTS model with voice cloning released

How we ranked this

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
Release of an open-weights model with performance claims and technical details. [lever_c_demoted from research: ic=1 ai=1.0]
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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
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

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

    Tontaube V1.1: open-weights TTS with voice cloning for long-form generation. 4-bit version runs about real time on a desktop CPU

    <!-- SC_OFF --><div class="md"><p>We just released Tontaube V1.1, a text-to-speech model built for long-form audio (audiobooks, articles, voice agents) with zero-shot voice cloning. Our previous V1 release needed a lot of VRAM because of its vLLM setup, so this version is about m…

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