In several applied contexts (e.g., earwitness testimony), the accurate recognition of unfamiliar voices can be a critical part of the person identification process. However, recognising unfamiliar voices is prone to error. While such errors could be reduced by testing the proficiency of listeners, the established tests of unfamiliar voice matching…

The analysis of spoken language has been integral to a breadth of research in social science and beyond. However, for analyses to occur with efficiency, language must be in the form of computer-readable text. Historically, the speech-to-text process has occurred manually using human transcriptionists. Automated speech recognition (ASR) is…

Reflection in language learning plays a key role in promoting a deeper understanding of one's own learning. Previous studies show that reflective speaking could raise students' higher critical thinking, and that technology helps facilitate this reflection effectively. This study aimed to investigate the use of VoiceThread for a reflective speaking…

Automatic speech recognition (ASR) has considerable potential to model aspects of classroom discourse with the goals of automated assessment, feedback, and instructional support. However, modeling student talk is besieged by numerous challenges including a lack of data for child speech, low signal to noise ratio, speech disfluencies, and…

This study looked at how practically ASR-based interactive video assignments can be integrated into EFL classrooms for additional out-of-class speaking practice, and what effects it will have on students. We created an ASR-based interactive video assignment using Google Scripts and gave it to students as a homework assignment between lessons in…

Technology has paved the way for new modalities in language learning, teaching, and assessment. However, there is still a great deal of work to be done to develop such tools for oral communication, specifically tools that address suprasegmental features in pronunciation instruction. Therefore, this critical literature review examines how…

This paper presents a workflow integrating the linguistic software ELAN and FLEx. This workflow allows the user to move between these two software applications to refine the transcription, translation, and annotation of the speech of multiple participants. The workflow also enables the addition of multiple writing systems for vernacular and…

Emerging audio technologies over the last decade have provided a new, unprecedented window into the everyday lives of infants and young children. These new approaches will allow us to begin to address longstanding questions about the nature of language experiences across languages, communities and situations and the role of these experiences in…

Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…

Purpose: Humans have a near-automatic tendency to entrain their motor actions to rhythms in the environment. Entrainment has been hypothesized to play an important role in processing naturalistic stimuli, such as speech and music, which have intrinsically rhythmic properties. Here, we studied two facets of entraining one's rhythmic motor actions…

Purpose: The speech motor system uses feedforward and feedback control mechanisms that are both reliant on prediction errors. Here, we developed a state-space model to estimate the error sensitivity of the control systems. We examined (a) whether the model accounts for the error sensitivity of the control systems and (b) whether the two systems…

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…

Speech remediation by identifying those segments which compromise the quality of speech content can be performed by correctly identifying portions of a recording which can be deleted without diminishing from the overall quality of the speech, but rather improving it. Speech remediation is especially important when it is heavily disfluent as in the…

The overarching goal of this design-based research was to explore WhatsApp's potential for facilitating and supporting speaking and pronunciation instruction in an EFL large-class speaking course. More specifically, this paper explored the perceived learning outcomes of WhatsApp-supported pedagogy in large English-speaking classes. Ninety-nine…

Computer-assisted pronunciation teaching (CAPT) for second-language learners has made great strides in recent years. While once small in number and confined to desktop computers, a great variety of CAPT resources are available online today. These resources provide instructional activities of various types, utilize different sensory modalities, and…