推进语音翻译：一个汉英电话会话语音语料库
Advancing Speech Translation: A Corpus of Mandarin-English Conversational Telephone Speech
AI总结：
本文构建了123小时汉英电话会话语音翻译语料库，通过微调通用翻译模型，目标域BLEU提升超8点，验证了匹配训练数据的关键作用。
摘要：
本文介绍了一套英文翻译，针对CallHome普通话中文数据和香港科技大学普通话电话语音数据中123小时子集，用于语音翻译任务。配对的源语言语音和目标语言文本对于训练端到端语音翻译系统至关重要，并且相对于在更广泛可用的文本数据集上训练，也能为级联系统带来显著的性能提升。我们证明，将通用翻译模型微调到我们的汉英电话会话语音训练集上，目标域BLEU值提高了超过8个点，突显了匹配训练数据的重要性。
英文摘要：
This paper introduces a set of English translations for a 123-hour subset of the CallHome Mandarin Chinese data and the HKUST Mandarin Telephone Speech data for the task of speech translation. Paired source-language speech and target-language text is essential for training end-to-end speech translation systems and can provide substantial performance improvements for cascaded systems as well, relative to training on more widely available text data sets. We demonstrate that fine-tuning a general-purpose translation model to our Mandarin-English conversational telephone speech training set improves target-domain BLEU by more than 8 points, highlighting the importance of matched training data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
