用普通话字幕的太极剧提高太极语音识别

Pin-Yuan Chen, Chia-Hua Wu, Hung-Shin Lee, Shao-Kang Tsao, M. Ko, Hsin-Min Wang
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引用次数: 2

摘要

taiigi自动语音识别(ASR)的一个明显问题是,训练数据的数量远远不足以构建一个实用的ASR系统。收集具有可靠转录本的语音数据用于训练声学模型(AM)是可行的,但成本昂贵。此外,用于语言模型(LM)训练的文本数据极其稀缺,难以收集,因为太极是一种口语,而不是常用的书面语言。有趣的是,台湾太极剧的字幕一直都是中文。由于YouTube上有大量带有中文字幕的太极剧集,我们提出了一种方法来增强太极ASR的AM和LM训练数据。这个想法是使用一个初始的太极ASR系统,通过参考演讲,将普通话中文字幕转换成最可能的太极单词序列。实验结果表明,通过训练数据的增强,我们的ASR系统得到了显著的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Taigi Dramas with Mandarin Chinese Subtitles to Improve Taigi Speech Recognition
An obvious problem with automatic speech recognition (ASR) for Taigi is that the amount of training data is far from enough to build a practical ASR system. Collecting speech data with reliable transcripts for training the acoustic model (AM) is feasible but expensive. Moreover, text data used for language model (LM) training is extremely scarce and difficult to collect because Taigi is a spoken language, not a commonly used written language. Interestingly, the subtitles of Taigi drama in Taiwan have long been in Chinese characters for Mandarin. Since a large amount of Taigi drama episodes with Mandarin Chinese subtitles are available on YouTube, we propose a method to augment the training data for AM and LM of Taigi ASR. The idea is to use an initial Taigi ASR system to convert a Mandarin Chinese subtitle into the most likely Taigi word sequence by referring to the speech. Experimental results show that our ASR system can be remarkably improved by such training data augmentation.
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