4 papers
From Utterance to Vividity: Training Expressive Subtitle Translation LLM via Adaptive Local Preference Optimization
Chaoqun Cui, Shijing Wang, Liangbin Huang +4
The rapid development of Large Language Models (LLMs) has significantly enhanced the general capabilities of machine translation. However, as application scenarios become more comp…
Hermes the Polyglot: A Unified Framework to Enhance Expressiveness for Multimodal Interlingual Subtitling
Chaoqun Cui, Shijing Wang, Liangbin Huang +4
Interlingual subtitling, which translates subtitles of visual media into a target language, is essential for entertainment localization but has not yet been explored in machine tra…
A Universal Harmonic Discriminator for High-quality GAN-based Vocoder
Nan Xu, Zhaolong Huang, Xiao Zeng
With the emergence of GAN-based vocoders, the discriminator, as a crucial component, has been developed recently. In our work, we focus on improving the time-frequency based discri…
Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference Optimization
Chaoqun Cui, Liangbin Huang, Shijing Wang +4
Video dubbing aims to translate original speech in visual media programs from the source language to the target language, relying on neural machine translation and text-to-speech t…