This study examines the L2 pronunciation feedback provided by the Automatic Speech Recognition (ASR) functionality in Google Translate (GT). We focus on three Quebec Francophone (QF) errors in English: th-substitution, h-deletion, and h-epenthesis. Four hundred and eighty male and female QF recordings of sentences with correctly and incorrectly…

This paper examines the impact of self-directed pronunciation practice using "Google Translate" (GT) on the acquisition of French liaison (the production of latent consonants when they appear in consonant-vowel contexts across words: /z/ in le/za/mis 'the friends'). Second-language (L2) French learners completed homework activities on GT…

This paper introduces "FineTune," a mobile application currently in development that features a gamified version of High Variability Phonetic Training (HVPT). The aims of this paper are twofold: (1) to outline the theoretical motivation for the app's features, which includes a discussion of HVPT, gamification, and Self-Determination…

This research aimed to investigate the effects of pronunciation monitoring on learners' affective factors through self-monitoring activities using speech recognition systems. The effect of a specifically designed pronunciation activity for Japanese university students was analyzed. The worksheet form of the activity was based on the use of speech…

This study examined the use of a popular Automatic Speech Recognition (ASR), Google Voice Typing (GVT), to automatically assess English as second language pronunciation. It aimed to answer the following question: What is the relationship between GVT-rated scores and human-rated scores? To answer this question, we compared audio recordings of 56…

Voice interaction assistants, such as "Siri," "Alexa," or "Google Assistant," offer new opportunities to create meaningful, fun tasks for language learning that require accurate spoken production. Designing good tasks requires an understanding of the learning context and needs as well as the interactional…

This article, based on Khademi's (2021) Master's thesis, examines the use of Google Translate (GT) and its speech capabilities, Text-to-Speech Synthesis (TTS) and Automatic Speech Recognition (ASR), in helping L2 learners acquire the pronunciation of English past -ed allomorphy (/t/, /d/, /id/) in a semi-autonomous context, considering three…

During the last decades of the 20th century, audiovisual products began to be audio described in order to make them accessible to blind and visually impaired people (Benecke, 2004). This means that visual information is orally described in the gaps between dialogues. In order to meet the wishes of the so-called On Demand (OD) generation that wants…

This paper addresses the process of transcribing and annotating spontaneous non-native speech with the aim of compiling a training corpus for the development of Computer Assisted Pronunciation Training (CAPT) applications, enhanced with Automatic Speech Recognition (ASR) technology. To better adapt ASR technology to CAPT tools, the recognition…

This paper reports on the early stages of a locally funded research and development project taking place at Rennes 2 university. It aims at developing a comprehensive pedagogical framework for pronunciation training for adult learners of English. This framework will combine a direct approach to pronunciation training (face-to-face teaching) with…

Our proposed work is aimed at teaching non-native Arabic speakers how to improve their pronunciation. This paper reports on a diagnostic tool for helping non-native speakers of Arabic improve their pronunciation, particularly of words involving sounds that are not distinguished in their native languages. The tool involves the implementation of…

This study investigated the effects of High Variability Phonetic Training (HVPT) on beginner level English as a Foreign Language (EFL) Japanese learners' perceptions and productions of the English fricatives /f/, /v/ and /?/. With the use of the computer program 'English Accent Coach' (EAC, Thomson, 2017), two groups of participants were engaged…

Many students of English language find pronunciation difficult to master. This work in progress paper discusses an incremental and iterative approach towards developing requirements for software applications to assist learners with the perception and production of English pronunciation in terms of phonemes and prosody. It was found that prompts…

The 2021 EUROCALL conference engaged just under 250 speakers from 40 different countries. Cnam Paris and Sorbonne Université joined forces to host and organise the event despite the challenging context due to the COVID-19 pandemic. Originally programmed to be held on site in the heart of Paris, France, the EUROCALL organising team and executive…

The 25th European Association of Computer-Assisted Language Learning (EUROCALL) conference was hosted by Modern Languages and Linguistics at the University of Southampton, in the United Kingdom, from the 23rd to the 26th of August 2017. The theme of the conference was "CALL in a climate of change." The theme encompassed the notion of how…