The Role of Phonetic Software in language learning

Abstract. This article reviews recent developments in the integration of computer technologies into pronunciation instruction within second language learning. It highlights the challenges of acquiring accurate pronunciation and explores how phonetic software—particularly Computer-Assisted Pronunciation Training (CAPT) systems—addresses these difficulties. Key technological tools discussed include Automatic Speech Recognition (ASR), acoustic visualization programs like Praat, mobile applications such as ELSA Speak, and gamified learning platforms. The review presents empirical findings supporting the effectiveness of these tools in enhancing both segmental and suprasegmental pronunciation features. Additionally, the article outlines existing limitations, including issues of accessibility, accent recognition, and hardware requirements. It emphasizes the importance of pedagogical integration and teacher training for successful implementation. Future directions such as deep learning, augmented reality, and multimodal feedback are discussed as promising innovations. The study concludes that phonetic software, when applied appropriately, can significantly enhance pronunciation instruction and learner confidence, transforming pronunciation from a peripheral aspect into a core component of language education.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-15
DOI
https://doi.org/10.5281/zenodo.15667364
Primary Topic
Phonetics and Phonology Research
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Phonetic Software in language learning

Zenodo (CERN European Organization for Nuclear Research)
Phonetics and Phonology Research
article

The Role of Phonetic Software in language learning

article en

Abstract

Abstract. This article reviews recent developments in the integration of computer technologies into pronunciation instruction within second language learning. It highlights the challenges of acquiring accurate pronunciation and explores how phonetic software—particularly Computer-Assisted Pronunciation Training (CAPT) systems—addresses these difficulties. Key technological tools discussed include Automatic Speech Recognition (ASR), acoustic visualization programs like Praat, mobile applications such as ELSA Speak, and gamified learning platforms. The review presents empirical findings supporting the effectiveness of these tools in enhancing both segmental and suprasegmental pronunciation features. Additionally, the article outlines existing limitations, including issues of accessibility, accent recognition, and hardware requirements. It emphasizes the importance of pedagogical integration and teacher training for successful implementation. Future directions such as deep learning, augmented reality, and multimodal feedback are discussed as promising innovations. The study concludes that phonetic software, when applied appropriately, can significantly enhance pronunciation instruction and learner confidence, transforming pronunciation from a peripheral aspect into a core component of language education.

Zenodo (CERN European Organization for Nuclear Research)
Uzbek State University of World Languages (UZ)
Quality Education
Openalex Percentile: Top 50%
Phonetics and Phonology Research
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