Abstract
At present, computer-aided spoken English learning is becoming increasingly popular among learners. The computer-aided comprehensive analysis tech-nology can evaluate and correct learner's spoken pronunciation, thereby im-proving their pronunciation. Based on computer-aided comprehensive analy-sis, this paper aims to explore the automatic recognition and scoring methods of spoken English in English education. For this, it studies the effective matching of the feedback information with the known pronunciation scoring results, and then develops a computer evaluation plug-in consisting of dif-ferent modules such as user login, English spoken speech acquisition and recognition, voice evaluation, speech broadcast, and spoken dialogue. The research results show that the computer evaluation plug-in matches and compares the extracted feature parameters of input speech with the standard features, scores the spoken language input by the learner, and gives the cor-rect pronunciation so that the learner can get feedback in time. For different stages of English learning, the focus of recognition technology and the spo-ken recognition algorithms applied also vary. The research findings provide theoretical and technical support for oral English recognition, error correction and scoring.
Highlights
English is a universal language for global communication
Based on the computer-aided comprehensive analysis, this paper explores the automatic recognition and scoring methods of spoken English, and effectively matches the feedback information with the known pronunciation scoring results
The quality of the scoring system is strongly dependent on speech recognition technology
Summary
English is a universal language for global communication. With the continuous acceleration of the global integration, the demand for English learning has grown rapidly. Spoken language recognition in English education has always been a difficult point for English learning [1]. At present, affected by the mother tongue, Chinese native learners are used to practicing or recognizing English using the Chinese pronunciation method despite the difference in pronunciation features between Chinese and English, which results in some difficulties in recognizing English pronunciation [2,3]. The recognition technology of spoken English began in the 1950s. With the continuous expansion of the English field, the constraints on spoken language recognition such as small-vocabularies, speaker-independent and isolated-words need to be relaxed, and the iJET ‒ Vol 15, No 3, 2020
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