An Empirical Study on English Phonetic Teaching Reform Based on Praat Phonetic Software

English, as an international common language, plays a pivotal role in today's international communication process. Voice can be divided into vowels and consonants, among which vowels are the core and backbone, and are the basis of pronunciation. this paper firstly investigates the current state of college students' mastery of English phonetic symbols, and then proposes an English phonetic symbol-assisted learning model based on speech recognition technology. The feature of speech signal—Mel frequency cepstral coefficient is extracted by speech signal processing technology, and the gap between test speech and standard speech is obtained by matching with standard speech sample library. High-quality courses and other multimedia teaching resources, and build an English phonetic transcription-assisted learning platform. To further carry out research on the effectiveness of Praat software to assist English phonetics teaching in the perspective of English-Chinese unit phonetic contrast, so that Chinese English learners can better acquire English phonetics and obtain a good phonetic appearance.

Authors

Publication Details

Journal
International Journal of Cognitive Informatics and Natural Intelligence
Published
2025-02-06
DOI
https://doi.org/10.4018/ijcini.368243
Citations
2
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
4.96
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article

An Empirical Study on English Phonetic Teaching Reform Based on Praat Phonetic Software

Leilei Guo
2 citations
International Journal of Cognitive Informatics and Natural Intelligence
Educational Technology and Pedagogy
4.96
article

An Empirical Study on English Phonetic Teaching Reform Based on Praat Phonetic Software

Leilei Guo
article en
2 citations

Abstract

English, as an international common language, plays a pivotal role in today's international communication process. Voice can be divided into vowels and consonants, among which vowels are the core and backbone, and are the basis of pronunciation. this paper firstly investigates the current state of college students' mastery of English phonetic symbols, and then proposes an English phonetic symbol-assisted learning model based on speech recognition technology. The feature of speech signal—Mel frequency cepstral coefficient is extracted by speech signal processing technology, and the gap between test speech and standard speech is obtained by matching with standard speech sample library. High-quality courses and other multimedia teaching resources, and build an English phonetic transcription-assisted learning platform. To further carry out research on the effectiveness of Praat software to assist English phonetics teaching in the perspective of English-Chinese unit phonetic contrast, so that Chinese English learners can better acquire English phonetics and obtain a good phonetic appearance.

International Journal of Cognitive Informatics and Natural IntelligenceVol. 19(1)
Openalex Percentile: Top 6%
Educational Technology and Pedagogy
4.96
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An Empirical Study on English Phonetic Teaching Reform Based on Praat Phonetic Software — Leilei Guo · International Journal of Cognitive Informatics and Natural Intelligence (2025) | TGRS Research Map | TGRS