ICASSP 2025accepted0 citations
E1 TTS: Simple and Fast Non-Autoregressive TTS
Zhijun Liu, Shuai Wang, Pengcheng Zhu, Mengxiao Bi, Haizhou Li
Abstract
This paper introduces Easy One-Step Text-to-Speech (E1 TTS), an efficient non-autoregressive zero-shot text-to-speech system based on denoising diffusion pretraining and distribution matching distillation. The training of E1 TTS is straightforward; it does not require explicit monotonic alignment between the text and audio pairs. The inference of E1 TTS is efficient, requiring only one neural network evaluation for each utterance. Despite its sampling efficiency, E1 TTS achieves naturalness and speaker similarity comparable to various strong baseline models. Audio samples are available at e1tts.github.io.
BibTeX
@inproceedings{icassp2025_e1ttssimpleandfa,
title = {E1 TTS: Simple and Fast Non-Autoregressive TTS},
author = {Zhijun Liu and Shuai Wang and Pengcheng Zhu and Mengxiao Bi and Haizhou Li},
booktitle = {ICASSP 2025},
year = {2025}
}