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Jin Shi

2 accepted papers

2025

LEF-TTS: Lightweight and Efficient End-to-End Text-to-Speech Synthesis With Multi-Stream Generator

ICASSP 2025accepted

Recently, the field of Text-to-speech synthesis has been predominantly characterized by end-to-end models, with the quality of speech generated by these models becoming increasingly comparable to that of human speech. In this work, we propose a Lightweight and Efficient Text-to-speech model, a fast…

Cited by 0SourceScholar
2025

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations

CVPR 2025poster

Document content extraction is a critical task in computer vision, underpinning the data needs of large language models (LLMs) and retrieval-augmented generation (RAG) systems. Despite recent progress, current document parsing methods have not been fairly and comprehensively evaluated due to the nar…