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TontaubeV1: New TTS model achieves streaming with natural prosody

By PulseAugur Editorial · [1 sources] ·

Researchers have developed TontaubeV1, a novel text-to-speech model designed to balance natural prosody with efficient streaming capabilities. The model utilizes a hierarchical DualCodec representation, separating semantic and acoustic information to predict utterance duration and refine audio. TontaubeV1 can process up to one minute of reference audio for voice conditioning and achieves a streaming latency of approximately 200ms on a single RTX 5090 GPU. Benchmarks indicate its prosody quality matches ElevenLabs Flash v2.5 and surpasses other leading models. AI

IMPACT This model's streaming capabilities and prosody quality could advance real-time voice applications and content generation.

RANK_REASON The item describes a new model release with a research paper and released weights. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

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

TontaubeV1: New TTS model achieves streaming with natural prosody

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The item describes a new model release with a research paper and released weights. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    TontaubeV1: Streaming Text-to-Speech with Hierarchical Codec Modeling and Bounded Context

    Text-to-speech systems often face a trade-off between natural prosody and efficient inference: higher perceptual quality typically comes at increased computational cost and latency. We present TontaubeV1, a model that preserves natural prosody while enabling streaming from a sing…

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