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NON-NATIVE ENGLISH SPEECH RECOGNITION USING BILINGUAL ENGLISH LEXICON AND ACOUSTIC MODELS

机译:使用双语英语词典和声学模型的非原生英语语音识别

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This paper proposes an English speech recognition system which can recognize both non-native (i.e. Japanese) and native English speakers' pronunciation of English speech. The system uses a bilingual pronunciation lexicon in which each word has both English and Japanese phoneme transcriptions. The Japanese transcription is constructed considering typical Japanese pronunciation of English. Japanese and English acoustic models are used in recognizing both transcriptions, and the highest-likelihood word sequence obtained in combining with native English- and Japanese-pronounced words is the recognition result. Continuous speech recognition experiments show that the proposed system greatly improves Japanese-English speech recognition performance while maintaining the same performance level as that of a purely native English recognition system.
机译:本文提出了英语语音识别系统,可以识别非本地(即日语)和母语扬声器的发音。该系统使用一个双语发音词典,其中每个单词都有英语和日语音素转录。考虑典型的日语语言,典型的日语发音的日语转录。日语和英语声学模型用于识别转录,以及与母语 - 和日语发音词组合获得的最高似然字序列是识别结果。连续语音识别实验表明,该系统大大提高了日语 - 英语语音识别性能,同时保持与纯粹母语英语识别系统相同的性能水平。

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