In this paper, we discuss about a study that was conducted to design a Computer Assisted Language Learning computer software system (CALL) which helps self-educate spoken English learners. This software system detects English language syllable stress and uses the results to guide prospective learners towards a successful learning of spoken English. The difficulties of a spoken language become more when an adult student whose vernacular tongue belongs to a syllable-time language such as Japanese or Mandarin, is making an effort to learn a stress-time spoken language such as English. In a stress-time language, it is the utterances with correct word stress and thereby sentence stress which is usually a problem among adult learners. Using the right sentence stress is the key point in proper communication. For a learner whose vernacular tongue is syllable-time, making mistakes on this area is very common. By carefully studying the accurately pronounced sentences of general conversations, we have found that their sentence rhythm is like that of the blank verse. However, when and where necessary alliteration (and assonance) is used in the general conversations. In this paper, we have modeled the phrases of general English conversations using rhyming couplets and triplets which are solely written in iambic pentameter. The alliteration has been used when and where it is suitable to do so. These modeled phrases of conversations have been tested with a group of 50 senior school students who are already having pronunciation difficulties in speaking the English language. After 3 months of daily training, the students considerably improved their language pronunciation skills. This proven algorithm will be used to build a novel CALL system.