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New Tacit-TTS system enables faster, transcript-free voice cloning

Researchers have developed Tacit-TTS, a novel text-to-speech system designed for efficient and transcript-free voice cloning. This system, derived from IndexTTS2, replaces traditional autoregressive decoding with a masked non-autoregressive generation approach. Tacit-TTS achieves over 10x faster speech generation compared to its predecessor for longer utterances and supports cross-lingual and non-lexical references, demonstrating its capability with diverse audio inputs. AI

IMPACT This research could lead to more efficient and versatile voice cloning tools, potentially impacting content creation and accessibility.

RANK_REASON The cluster contains a research paper detailing a new model and its technical approach. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

New Tacit-TTS system enables faster, transcript-free voice cloning

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The cluster contains a research paper detailing a new model and its technical approach. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jian Chen, You Zhang, Mark Vinton ·

    Tacit-TTS: From Autoregressive Decoding to Masked Prediction for Efficient Transcript-Free Voice Cloning

    arXiv:2609.38658v1 Announce Type: cross Abstract: TTS systems with autoregressive semantic modeling have demonstrated strong zero-shot voice cloning performance and rich expressive variation, but their sequential decoding incurs substantial latency. Non-autoregressive alternative…