Abstract
This paper is based on the exploration of the effective method of erroneous phoneme pronunciation of Chinese mandarin learners whose mother tongue is Uyghur and the solution of major problems of language education, concerning the learner’s pronunciation, it uses a different method, namely data-driven approach, and the Automatic Speech Recognition (ASR) is also used to recognize phonemes of the pronunciation of Chinese mandarin learners whose native language is Uyghur. The phoneme sequence is identified and then the standard pronunciation phonemes corresponding to the recognized phonemes are used as the target phonemes to obtain the mapping relation of each target phoneme and recognition phoneme, thus the possible phoneme error categories and possible erroneous rules in Uyghur learners’ pronunciation can be obtained, which may give some help to the Uyghur learners to learn the Chinese auxiliary language system and the corresponding pronunciation evaluation model.
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This work was supported by the National Natural Science Foundation of China (NSFC; grant 61462085, 61662078, and 61633013).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Arkin, G., Hamdulla, A. (2019). Analysis of Phonemes and Tones Confusion Rules Obtained by ASR. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-32216-8_45
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DOI: https://doi.org/10.1007/978-3-030-32216-8_45
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