Feature Analysis of Articulatory Movements While Speaking Different Languages Using Facial Muscle Surface Myoelectric Potential Signal

カテゴリ: 部門大会

論文No: SS3-3

グループ名: 【C】2023年電気学会電子・情報・システム部門大会

発行日: 2023/08/23

タイトル(英語): Feature Analysis of Articulatory Movements While Speaking Different Languages Using Facial Muscle Surface Myoelectric Potential Signal

著者名: 黄 宇軒（東京電機大学）,鈴木 俊也（東京電機大学）,花崎 泉（東京電機大学）

著者名(英語): Uken Ko (Tokyo Denki University),Syunya Suzuki (Tokyo Denki University),Izumi Hanazaki (Tokyo Denki University)

キーワード: Articulatory Movements|Facial Muscle Surface Myoelectric Potential Signal|Speech Signal|Language|Articulatory Movements|Facial Muscle Surface Myoelectric Potential Signal|Speech Signal|Language

要約(日本語): Speakers use facial muscles to control articulators and produce accurate speech sounds for their language. The method of articulation varies depending on the language and, as a result, the facial muscle activity involved in articulation also differs. This study aims to analyze articulatory movements during speech in different languages by measuring the activity level of facial myoelectric potential signals.