Bootstrapping techniques are an efficient way to develop electronic pronunciation dictionaries [1, 2], but require fast system response to be practical for medium-to-large lexicons. In addition, user errors are inevitable during this process, and it is useful if automatic means can be used to assist in the search for such errors. We describe how the Default&Refine grapheme-tophoneme rule extrac...

Computer Assisted Language Learning (CALL) has now established itself as a prolific area whose advantages are well-known to educators. Yet, many authors lament the lack of a reliable integrated conceptual framework linking technology advances and second language acquisition research within which effective materials can be designed [1],[2]. The CALL world has recently witnessed a flourishing of ...

It is difficult to recognize accented or non-native speech with speech recognition systems that are trained using native speech. While standard acoustic speaker adaptation techniques are often applied in these cases, they can only reduce the recognition errors that are due to mispronunciations on the phoneme level. They are not able to handle severe deviations from the expected pronunciation. A...

This paper explores a novel approach of identifying pronunciation errors for the second language (L2) learners based on the landmark theory of human speech perception. Earlier works on the selection method of distinctive features and the likelihoodbased “goodness of pronunciation” (GOP) measurement have gained progress in several L2 languages, e.g. Dutch and English. However, the improvement of...

The learning model and environment are two major constraints on spoken English by Chinese learners. maturity of computer-aided language brings a new opportunity to Based speech recognition machine learning, this paper designs teaching system, determines the overall architecture functional modules system according system’s demand. Specifically, MATLAB was adopted realize recognition, generate mo...

This paper describes the use of a rule based system for generation of pronunciation variants as a component of a speech-enabled computer aided pronunciation learning (CAPL) system. This CAPL system is a part of a computer aided recitation of the holy Qur an training system. It generates the most probable pronunciation error hypotheses that are fed to a hidden Markov model (HMM)-based speech rec...