{"title":"对有语音障碍和智力障碍的儿童进行声学语音分析","authors":"Min Jeong Han, Mi Kyoung Song, Sun Jun Kim","doi":"10.26815/acn.2023.00318","DOIUrl":null,"url":null,"abstract":"Purpose: This study was conducted to analyze the acoustic differences associated with the presence of speech sound disorder (SSD) and/or cognitive ability. Methods: Medical records from 2016 to 2022 were retrospectively analyzed. The study included children aged 4 to 8 years who had undergone developmental assessments. Based on the assessment results, participants were divided into three groups: children with SSD without intellectual disability (ID), children with SSD and ID, and typically developing (TD) children. Voices were analyzed using the Multidimensional Voice Program (MDVP). Results: The average ages of children with SSD, those with SSD and ID, and those categorized as TD were 61.0±11.4, 62.3±10.7, and 64.2±9.4 months, respectively ( P =0.482). The proportion of children with SSD and ID who also had attention deficit hyperactivity disorder was significantly higher (53.3%) than in the other groups ( P =0.010). In the MDVP analysis, among values related to fundamental frequency, the number of segments computed was significantly lower in children with SSD and ID compared to the other groups (SSD, 25.0; SSD with ID, 17.0; TD, 19.0; P =0.001). Similarly, the total number of pitch periods detected was significantly lower among those with both SSD and ID (SSD, 230.0; SSD with ID, 152.5; TD, 187.0; P =0.001). No other parameters significantly differed across groups. Conclusion: Acoustic analysis can reflect voice changes in children with SSD and ID compared to both those with SSD and TD children. Therefore, voice analysis may serve as a supportive screening tool for patients with SSD.","PeriodicalId":33305,"journal":{"name":"Annals of Child Neurology","volume":"40 14","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Acoustic Voice Analysis in Children with Speech Sound Disorder and Intellectual Disability\",\"authors\":\"Min Jeong Han, Mi Kyoung Song, Sun Jun Kim\",\"doi\":\"10.26815/acn.2023.00318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: This study was conducted to analyze the acoustic differences associated with the presence of speech sound disorder (SSD) and/or cognitive ability. Methods: Medical records from 2016 to 2022 were retrospectively analyzed. The study included children aged 4 to 8 years who had undergone developmental assessments. Based on the assessment results, participants were divided into three groups: children with SSD without intellectual disability (ID), children with SSD and ID, and typically developing (TD) children. Voices were analyzed using the Multidimensional Voice Program (MDVP). Results: The average ages of children with SSD, those with SSD and ID, and those categorized as TD were 61.0±11.4, 62.3±10.7, and 64.2±9.4 months, respectively ( P =0.482). The proportion of children with SSD and ID who also had attention deficit hyperactivity disorder was significantly higher (53.3%) than in the other groups ( P =0.010). In the MDVP analysis, among values related to fundamental frequency, the number of segments computed was significantly lower in children with SSD and ID compared to the other groups (SSD, 25.0; SSD with ID, 17.0; TD, 19.0; P =0.001). Similarly, the total number of pitch periods detected was significantly lower among those with both SSD and ID (SSD, 230.0; SSD with ID, 152.5; TD, 187.0; P =0.001). No other parameters significantly differed across groups. Conclusion: Acoustic analysis can reflect voice changes in children with SSD and ID compared to both those with SSD and TD children. Therefore, voice analysis may serve as a supportive screening tool for patients with SSD.\",\"PeriodicalId\":33305,\"journal\":{\"name\":\"Annals of Child Neurology\",\"volume\":\"40 14\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Child Neurology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26815/acn.2023.00318\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Child Neurology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26815/acn.2023.00318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
Acoustic Voice Analysis in Children with Speech Sound Disorder and Intellectual Disability
Purpose: This study was conducted to analyze the acoustic differences associated with the presence of speech sound disorder (SSD) and/or cognitive ability. Methods: Medical records from 2016 to 2022 were retrospectively analyzed. The study included children aged 4 to 8 years who had undergone developmental assessments. Based on the assessment results, participants were divided into three groups: children with SSD without intellectual disability (ID), children with SSD and ID, and typically developing (TD) children. Voices were analyzed using the Multidimensional Voice Program (MDVP). Results: The average ages of children with SSD, those with SSD and ID, and those categorized as TD were 61.0±11.4, 62.3±10.7, and 64.2±9.4 months, respectively ( P =0.482). The proportion of children with SSD and ID who also had attention deficit hyperactivity disorder was significantly higher (53.3%) than in the other groups ( P =0.010). In the MDVP analysis, among values related to fundamental frequency, the number of segments computed was significantly lower in children with SSD and ID compared to the other groups (SSD, 25.0; SSD with ID, 17.0; TD, 19.0; P =0.001). Similarly, the total number of pitch periods detected was significantly lower among those with both SSD and ID (SSD, 230.0; SSD with ID, 152.5; TD, 187.0; P =0.001). No other parameters significantly differed across groups. Conclusion: Acoustic analysis can reflect voice changes in children with SSD and ID compared to both those with SSD and TD children. Therefore, voice analysis may serve as a supportive screening tool for patients with SSD.