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Xiulin Li

2 accepted papers

2026

SpeechJudge: Towards Human-Level Judgment for Speech Naturalness

ICLR 2026poster

Aligning large generative models with human feedback is a critical challenge. In speech synthesis, this is particularly pronounced due to the lack of a large-scale human preference dataset, which hinders the development of models that truly align with human perception. To address this, we introduce…

Cited by 0SourceScholar
2022

An End-to-End Chinese Text Normalization Model Based on Rule-Guided Flat-Lattice Transformer

ICASSP 2022accepted

Text normalization, defined as a procedure transforming nonstandard words to spoken-form words, is crucial to the intelligibility of synthesized speech in text-to-speech system. Rule-based methods without considering context can not eliminate ambiguation, whereas sequence-to-sequence neural network…

Cited by 0SourceScholar