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In oral English learning, HDPs (phonemes that are hard to be distinguished) are areas where Chinese students frequently make mistakes in pronunciation. This paper studies a speech phoneme evaluation method for HDPs, hoping to improve the ability of individualized evaluation on HDPs and help provide a personalized learning platform for English learners. First of all, this paper briefly introduces relevant phonetic recognition technologies and pronunciation evaluation algorithms and also describes the phonetic retrieving, phonetic decoding and phonetic knowledge base in the Sphinx-4 computer system, which constitute the technological foundation for phoneme evaluation. Then it proposes an HDP evaluation model, which integrates the reliability of the speech processing system and the individualization of spoken English learners into the evaluation system. After collecting HDPs of spoken English learners and sorting them into different sets, it uses the evaluation system to recognize these HDP sets and at last analyzes the experimental results of HDP evaluation, which proves the effectiveness of the HDP evaluation model

On Spoken English Phoneme Evaluation Method Based on Sphinx-4 Computer System