This chapter examines the use of Automatic Speech Recognition (ASR) technology in the context of Computer Assisted Language Learning (CALL) and language learning and teaching research. A brief introduction to ASR is first provided, to make it clear why and how this technology can be used to the benefit of learning and development in second language (L2) spoken discourse. This is followed by an ...

As Computer-Assisted Language Learning (CALL) has taken an important role in foreign language teaching and learning, not only is concrete data about the usefulness of technologymediated environments for these purposes necessary, but also how the learning process is improved in such environments when learner training for CALL. The objective of this paper is to present an investigation which soug...

BACKGROUND This randomized, single-blinded, controlled study compares the effectiveness of two modes of delivering the same set of oral hygiene instructions: those loaded on a computer-assisted teaching format versus those given personally by a self-care instructor. METHODS 60 participants with mild to moderate periodontitis were randomized to either the computer-teaching format or the self-c...

The aim of the paper is to introduce a versatile and user-friendly computer assisted learning (CAL) system in order to support traditional teaching in the Speech Science domain. This system is based on Java as a powerful programming language for developing platform-independent, interactive and computationalbased software that can be used on the World-Wide Web through a Java-enabled Web browser....

This work presents methods of assessing non-native speech to aid computer-assisted pronunciation teaching. These methods are based on automatic speech recognition (ASR) techniques using Hidden Markov Models. Conn-dence scores at the phoneme level are calculated to provide detailed information about the pronunciation quality of a foreign language student. Experimental results are given based on ...

3. Murray TS, Barber JH, Hannay DR. Computer-assisted learning as a means of self-assessment. Update 1976; 13: 532-534. 4. Murray TS, Dunn WR, Cupples RW, et al. The potential of computer-assisted learning in undergraduate medical education. J R Coll Physicians Lond 1977; 2: 401-404. 5. Murray TS, Cupples RW, Barber JH, et al. Teaching decision-making to medical undergraduates. Med Educ 1977; 2...

This paper describes the tone-learning features of the MyETMyCT software, which is a computer-assisted language learning platform based on advanced speech technologies. We describe the theories involved, the advantages it offered, and the challenges we faced when developing such a computer-assisted language learning system.