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Faster IndexTTS-2 accelerates text-to-speech synthesis on GPUs

Researchers have developed Faster IndexTTS-2, a method to significantly accelerate the IndexTTS-2 text-to-speech model for GPU deployment. This new version optimizes the autoregressive GPT and Diffusion Transformer components, achieving up to a 5.0x speedup for the GPT and 3.6x end-to-end. Faster IndexTTS-2 also introduces streaming synthesis capabilities for interactive applications and batch inference to maximize GPU utilization, with minimal impact on synthesis quality. AI

IMPACT Accelerates deployment of autoregressive TTS models for real-time applications.

RANK_REASON The item describes a new method for accelerating an existing model, detailed in an arXiv paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Faster IndexTTS-2 accelerates text-to-speech synthesis on GPUs

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Muyang Du, Shuang Yu, Junjie Lai ·

    Faster IndexTTS-2: Accelerating and Streaming Autoregressive Zero-Shot Text-to-Speech Synthesis on GPUs

    arXiv:2607.21042v1 Announce Type: new Abstract: Autoregressive text-to-speech models achieve strong naturalness but suffer from slow inference due to sequential token generation, limiting their deployment in production applications that require low latency. IndexTTS-2 is a state-…