Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…

Pronunciation errors may be caused by several different deviations from the target, such as voicing, intonation, insertions or deletions of segments, or that the articulators are placed incorrectly. Computer-animated pronunciation teachers could potentially provide important assistance on correcting all these types of deviations, but they have an…

The aim of this paper is to summarise how pronunciation feedback on the phoneme level should be given in computer-assisted pronunciation training (CAPT) in order to be effective. The study contains a literature survey of feedback in the language classroom, interviews with language teachers and their students about their attitudes towards…

Explains the use of a computer-assisted language-learning tool that utilizes acoustic data in real time to help Japanese second-language learners improve their perception and production of English consonants. The basic features of the speech-learning software that runs on a networked workstation and is used for pronunciation training are…