Evaluation of Direct Speech Translation Method Using Inductive Learning for Conversations in the Travel Domain
Evaluation of Direct Speech Translation Method Using Inductive Learning for Conversations in the Travel Domain
复制标题
使用归纳学习进行旅游领域对话的直接语音翻译方法的评估
DOI：
10.3115/1118656.1118663
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
K. Tochinai
中科院分区：
文献类型：
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作者：
K. Murakami;M. Hiroshige;K. Araki;K. Tochinai
本文提出了一种基于归纳学习方法的波形语音直接翻译方法。该方法不需要传统的语音识别和语音合成，因为在所提出的方法中，翻译不需要句法表达式。我们只关注源语言和目标语言的语音波形的声学特征，而不从话语中获得字符串。这种语音翻译方法可以用于任何语言，因为该系统没有依赖于特定语言的单个字符的处理。因此，我们可以利用传统语音识别系统无法处理的残疾人的语音，因为我们不需要将语音分割成音素、音节或单词来实现语音翻译。我们的方法是通过归纳学习两种语言之间具有声学对应关系的翻译规则来实现的。本文讨论的是日语和英语之间的翻译。
This paper evaluates a direct speech translation Method with waveforms using the Inductive Learning method for short conversation. The method is able to work without conventional speech recognition and speech synthesis because syntactic expressions are not needed for translation in the proposed method. We focus only on acoustic characteristics of speech waveforms of source and target languages without obtaining character strings from utterances. This speech translation method can be utilized for any language because the system has no processing dependent on an individual character of a specific language. Therefore, we can utilize the speech of a handicapped person who is not able to be treated by conventional speech recognition systems, because we do not need to segment the speech into phonemes, syllables, or words to realize speech translation. Our method is realized by learning translation rules that have acoustic correspondence between two languages inductively. In this paper, we deal with a translation between Japanese and English.