Jinzhu Li — accepted AI-conference papers

2023

LeanSpeech: The Microsoft Lightweight Speech Synthesis System for Limmits Challenge 2023

Chen Zhang, Shubham Bansal, Aakash Lakhera, Jinzhu Li, Gang Wang, Sandeepkumar Satpal +2

ICASSP 2023accepted

This paper describes the Microsoft Text-to-Speech (TTS) system: LeanSpeech for LIMMITS (Lightweight, Multi-speaker, Multi-lingual Indic TTS) Challenge 2023<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>, which is part of ICASSP2023 to encourage…

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2021

Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search

Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao +2

ICASSP 2021accepted

Text to speech (TTS) has been broadly used to synthesize natural and intelligible speech in different scenarios. Deploying TTS in various end devices such as mobile phones or embedded devices requires extremely small memory usage and inference latency. While non-autoregressive TTS models such as Fas…

Cited by 0 Source ↗Scholar ↗