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Baiji Liu

2 accepted papers

2026

HD-PPT: HIERARCHICAL DECODING OF CONTENT- AND PROMPT-PREFERENCE TOKENS FOR INSTRUCTION-BASED TTS

ICASSP 2026oral

Large Language Model (LLM)-based Text-to-Speech (TTS) models have already reached a high degree of naturalness. However, the precision control of TTS inference is still challenging. Although instruction-based Text-to-Speech (Instruct-TTS) models are proposed, these models still lack fine-grained con…

Cited by 0SourcePDFScholar
2023

CB-Conformer: Contextual Biasing Conformer for Biased Word Recognition

ICASSP 2023accepted

Due to the mismatch between the source and target domains, how to better utilize the biased word information to improve the performance of the automatic speech recognition model in the target domain becomes a hot research topic. Previous approaches either decode with a fixed external language model…

Cited by 0SourceScholar