Automatic Speech Recognition (ASR) is a digital communication method that transforms spoken discourse into written text. This rapidly evolving technology is used in email, text messaging, or live video captioning. Current ASR systems operate in conjunction with Natural Language Processing (NLP) technology to transform speech into text that people…

The current study compared five free Text-To-Speech (TTS) systems, selected based on characteristics such as availability and capabilities. Tasks were completed by 37 English learners to evaluate these systems in terms of their comprehensibility, naturalness, and intelligibility. Our findings indicate that IBM Watson and Google Translate are the…

This work presents the assistive use of a combination of technologies in language learning to individuals with high functioning disabilities within a higher education environment. The primary aim of this research is to introduce the initial findings of a pilot exploratory user test which aims to facilitate a better understanding of the suitability…

This volume offers a comprehensive, up-to-date, empirical and methodological view over the new scenarios and environments for language teaching and learning recently emerged (e.g. blended learning, e-learning, ubiquitous learning, social learning, autonomous learning or lifelong learning), and also over some of the new approaches to language…

The 23rd EUROCALL conference was held in Cyprus from the 24th to the 27th of August 2016. The theme of the conference this year was "CALL Communities and Culture." It offered a unique opportunity to hear from real-world CALL practitioners on how they practice CALL in their communities, and how the CALL culture has developed in local and…