The Use of Speech Technology in Computer Assisted Language Learning Systems

Krasnova, Ekaterina; Bulgakova, Elena

doi:10.1007/978-3-319-11581-8_57

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…TTS technology can be used for methodological purposes, for example, to create exercises that suppose a dictation in a foreign language. These exercises are necessary for training listening skills (Krasnova & Bulgakova, 2014).…”

Section: Text-to-speech In Language Learningmentioning

confidence: 99%

The Application of Text-to-Speech Technology in Language Learning

Widyana¹,

Jerusalem²,

Yumechas³

2022

Proceedings of the Sixth International Conference on Language, Literature, Culture, and Education (ICOLLITE 2022)

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Technology has improved temporarily from time to time. There are a lot of technologies that had been developed to enhance language learning, and one of them is text-to-speech technology. Text-to-speech technology is a form of system that can convert phoneme to audio. It has provided an impact in language learning since it was developed. This article presents how the application of text-to-speech technology is used in language learning, including the negative and positive side of text-to-speech technology in language learning. It reports on the results of a systematic review of articles that specifically examine the use of text-to-speech technology in language learning. The articles were published between 2012 and 2022 and collected from several databases, including Google Scholar, Elsevier, SAGE, Springer, ERIC, IEEE, and Taylor & Francis. The articles were then reviewed and selected using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach. The analysis results of 20 selected articles revealed that the use of text-to-speech assisted the process of knowledge transfer. Text-to-speech technology has also played a practical role in language learning, especially in improving students' language skills. The review also revealed that text-to-speech technology lacks in intonation, eye-contact, and real-time class interaction. But overall, despite that it has a slight negative impact, text-to-speech technology can be a breakthrough to support language learning.

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Section: Text-to-speech In Language Learningmentioning

confidence: 99%

The Application of Text-to-Speech Technology in Language Learning

Widyana¹,

Jerusalem²,

Yumechas³

2022

Proceedings of the Sixth International Conference on Language, Literature, Culture, and Education (ICOLLITE 2022)

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“…As Krasnova and Bulgakova (2014) note, "usual ASR systems cannot distinguish sounds of a native and a foreign language that are similar, for example, between English aspirated alveolar [t] and Russian dental dorsal [t]". Figure 1 illustrates a "usual" ASR system, known as speech-to-text (STT).…”

Section: Automatic Pronunciation Error Detectionmentioning

confidence: 99%

Computational Approaches to Exploring Persian-Accented English

Miller

2015

RiL

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“…Learning English just like any other language can be equally challenging to dual language learners, both young and adults (Krasnova and Bulgakova, 2014). Dual language learners (DLL) whose first language (L1) is not English need many opportunities to speak and read English (L2) to achieve the English language proficiency needed for academic success, social and emotional competencies.…”

Section: Introductionmentioning

confidence: 99%

iLEAP: A HUMAN-AI TEAMING BASED MOBILE LANGUAGE LEARNING SOLUTION FOR DUAL LANGUAGE LEARNERS IN EARLY AND SPECIAL EDUCATIONS

Selvin¹,

Shivakumar²,

Vasoya³

et al. 2019

Proceedings of the 15th International Conference on Mobile Learning 2019

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In this research paper, we present an AR-and AI-based mobile learning tool that provides: 1.) automatic and accurate intelligibility analysis at various levels: letter, word, phrase and sentences, 2.) immediate feedback and multimodal coaching on how to correct pronunciation, and 3.) evidence-based dynamic training curriculum tailored to each individual's learning patterns and needs, e.g., retention of corrected pronunciation and typical pronunciation errors. The use of visible and interactive virtual expert technology capable of intuitive AR-based interactions will greatly increase student's acceptance and retention of a virtual coach. In school or at home, it will readily resemble an expert reading specialist to effectively guide and assist a student in practicing reading and speaking by him-/herself independently, which is particularly important for dual language learners (DLL) whose first language (L1) is not English as many of their parents don't speak English fluently and cannot offer the necessary help. Our human-AI teaming based solution overcomes the shortfall of conventional computer-based language learning tools and serve as a supportive and team-based learning platform that is critical for optimizing the learning outcomes.

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The Use of Speech Technology in Computer Assisted Language Learning Systems

Cited by 6 publications

References 14 publications

The Application of Text-to-Speech Technology in Language Learning

The Application of Text-to-Speech Technology in Language Learning

Computational Approaches to Exploring Persian-Accented English

iLEAP: A HUMAN-AI TEAMING BASED MOBILE LANGUAGE LEARNING SOLUTION FOR DUAL LANGUAGE LEARNERS IN EARLY AND SPECIAL EDUCATIONS

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