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PilotTTS achieves competitive speech synthesis with minimalist architecture

Researchers have developed PilotTTS, a lightweight text-to-speech system that achieves competitive performance using a minimalist architecture and efficient data engineering. Trained on 200,000 hours of data with open-source tools, PilotTTS offers features like zero-shot voice cloning, emotion synthesis, and dialect synthesis. It has demonstrated superior performance on the Seed-TTS Eval benchmark, achieving low word and character error rates and high speaker similarity, outperforming systems trained on much larger datasets. AI

IMPACT Offers a competitive TTS solution with reduced data and computational requirements, potentially lowering barriers for research and development.

RANK_REASON The cluster contains an academic paper detailing a new model and its performance on a benchmark.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

PilotTTS achieves competitive speech synthesis with minimalist architecture

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Bowen Li, Shaotong Guo, Zhen Wang, Yang Xiang, Mingli Jin, Yihang Lin, Jiahui Zhao, Weibo Xiong, Dongrui Li, Keming Chen, Yunze Gao, Yuze Zhou, Zeyang Lin, Yue Liu ·

    PilotTTS: A Disciplined Modular Recipe for Competitive Speech Synthesis

    arXiv:2605.27258v1 Announce Type: cross Abstract: Building state-of-the-art text-to-speech (TTS) systems typically demands millions of hours of proprietary data and complex multi-stage architectures, creating substantial barriers for resource-constrained research teams. In this r…

  2. arXiv cs.AI TIER_1 English(EN) · Yue Liu ·

    PilotTTS: A Disciplined Modular Recipe for Competitive Speech Synthesis

    Building state-of-the-art text-to-speech (TTS) systems typically demands millions of hours of proprietary data and complex multi-stage architectures, creating substantial barriers for resource-constrained research teams. In this report, we present PilotTTS, a lightweight autoregr…