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A linguistic analysis of speech recognition of Korean dialects
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한국어 방언 음성 인식에 대한 한국어학적 고찰

논문 기본 정보

Type
Academic journal
Author
Kim Areum (서울대학교)
Journal
국어문학회 국어문학 Vol.82 KCI Accredited Journals
Published
2023.3
Pages
85 - 108 (24page)

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A linguistic analysis of speech recognition of Korean dialects
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Abstract· Keywords

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This study aims to provide a linguistic analysis of the problem of recognizing Korean dialects in speech recognition, by examining the characteristics of dialects that cause errors in speech recognition experiments using dialectal speech data. To accomplish this, we classified dialectal features that differ from standard Korean into two categories: substitution and deletion. Our analysis of the results of speech recognition experiments revealed that dialectal features such as the merging of phonemes, substitution between vowels that are not discriminable in some environments, and omission of phonemes that only exist in dialects or are numerically infrequent, act as obstacles to speech recognition. We also describe how grammatical morphemes used in dialects that are homonymous with those in standard Korean or differences in pronunciation at the word level between dialects and standard Korean also lead to a significant number of recognition errors. This study sheds light on the challenges of recognizing Korean dialects in speech recognition and provides insights for developing more accurate and efficient speech recognition systems.
#음성 인식 오류 #방언 음성 인식 #경상 방언 음성 인식 #전라 방언 음성 인식 #Speech recognition errors #dialectal speech recognition #recognition of Gyeongsang dialect in speech #recognition of Jeolla dialect in speech

Contents

국문초록
1. 연구 목적 및 연구 방법
2. 방언 음성 인식 결과 분석
3. 결론 및 남은 문제
참고문헌
Abstract

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