Jiahong Yuan


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Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training
Renjie Zheng | Mingbo Ma | Baigong Zheng | Kaibo Liu | Jiahong Yuan | Kenneth Church | Liang Huang
Findings of the Association for Computational Linguistics: EMNLP 2020

Simultaneous speech-to-speech translation is an extremely challenging but widely useful scenario that aims to generate target-language speech only a few seconds behind the source-language speech. In addition, we have to continuously translate a speech of multiple sentences, but all recent solutions merely focus on the single-sentence scenario. As a result, current approaches will accumulate more and more latencies in later sentences when the speaker talks faster and introduce unnatural pauses into translated speech when the speaker talks slower. To overcome these issues, we propose Self-Adaptive Translation which flexibly adjusts the length of translations to accommodate different source speech rates. At similar levels of translation quality (as measured by BLEU), our method generates more fluent target speech latency than the baseline, in both Zh<->En directions.


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Sentence selection for automatic scoring of Mandarin proficiency
Jiahong Yuan | Xiaoying Xu | Wei Lai | Weiping Ye | Xinru Zhao | Mark Liberman
Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing


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A Cross-language Study on Automatic Speech Disfluency Detection
Wen Wang | Andreas Stolcke | Jiahong Yuan | Mark Liberman
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies