This study examined the impact of Clear Pronunciation 2 software on teaching English suprasegmental features, focusing on stress, rhythm and intonation. In particular, the software covers five topics in relation to suprasegmental features including consonant cluster, word stress, connected speech, sentence stress and intonation. Seven Iranian EFL learners participated in this study. The study l...

Although Persian and English share many common phonemes, there are some phonological features that are present in English but absent in Persian which tend to lead to mispronunciation on the part of Persian learners of English, mostly through negative transfer. The present research assesses the efficacy of a communicative framework in improving Iranian adult EFL learners’ pronunciation of five E...

In some approaches to dialogic pedagogy research, authentic questions have long attracted attention, since the prevalence of has been used as an indicator quality classroom activities. However, this article offers analysis concept in research literature and shows that is less clear than commonly assumed. For instance, descriptions definitions offered are very heterogeneous even within particula...

The large pronunciation variability of words in conversational speech is one of the major causes of low accuracy for automatic speech recognition (ASR). Many pronunciation modeling approaches have been developed to address this problem. Some explicitly manipulate the pronunciation dictionary as well as the set of the units used to define the pronunciations of words. Others model the pronunciati...

In this paper, three different approaches to pronunciation modeling are investigated. Two existing pronunciation modeling approaches, namely the pronunciation dictionary and n-best rescoring approach are modified to work with little amount of non-native speech. We also propose a speaker clustering approach, which capable of grouping the speakers based on their pronunciation habits. Given some s...

This study investigated teachers’ views toward computer technology in teaching English pronunciation. In order to select teachers for the semi-structured interview, the researcher used a questionnaire and distributed it to 25 teachers from two Islamic Azad Universities of Guilan, Iran. The researcher chose 15 of them based on their answers to the questionnaire. Then a qualitative method d...

Some former studies (Baditzné, 2019 and 2020; Kovács, in press) suggest the lack of chaining or fluency speech Hungarian B2 CEFR level students Spanish. On basis these previous results, we pose question whether pronunciation learners regarding aspects can be further improved by making them aware phenomena synalepha resyllabification, if so, which one is more effective: practicing its use throug...

Automated speech recognition systems work typically with pronunciation dictionary for generating expected phonetic content of particular words in recognized utterance. But the pronunciation can vary in many situations. Besides the cases with more possible pronunciation variants specified manually in the dictionary there are typically many other possible changes in the pronunciation depending on...

A lot of work has been done in deriving the pronunciation dictionary automatically from training data. These attempts focussed mainly on maximum likelihood or similar techniques. Due to the complexity and variability of the pronunciation process it is di cult to nd an adequate pronunciation model. The model will deviate from the truth. Hence, the application of maximum likelihood techniques is ...