Evidence-Based Recommendations for Tablet Recordings From the Bridge2AI-Voice Acoustic Experiments.

IF 2.5 4区 医学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Shaheen N Awan, Ruth Bahr, Stephanie Watts, Micah Boyer, Robert Budinsky, Yael Bensoussan
{"title":"Evidence-Based Recommendations for Tablet Recordings From the Bridge2AI-Voice Acoustic Experiments.","authors":"Shaheen N Awan, Ruth Bahr, Stephanie Watts, Micah Boyer, Robert Budinsky, Yael Bensoussan","doi":"10.1016/j.jvoice.2024.08.029","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>As part of a larger goal to create best practices for voice data collection to fuel voice artificial intelligence (AI) research, the objective of this study was to investigate the ability of readily available iOS and Android tablets with and without low-cost headset microphones to produce recordings and subsequent acoustic measures of voice comparable to \"research quality\" instrumentation.</p><p><strong>Methods: </strong>Recordings of 24 sustained vowel samples representing a wide range of typical and disordered voices were played via a head-and-torso model and recorded using a research quality standard microphone/preamplifier/audio interface. Acoustic measurements from the standard were compared with two popular tablets using their built-in microphones and with low-cost headset microphones at different distances from the mouth.</p><p><strong>Results: </strong>Voice measurements obtained via tablets + headset microphones close to the mouth (2.5 and 5 cm) strongly correlated (r's > 0.90) with the research standard and resulted in no significant differences for measures of vocal frequency and perturbation. In contrast, voice measurements obtained using the tablets' built-in microphones at typical reading distances (30 and 45 cm) tended to show substantial variability in measurement, greater mean differences in voice measurements, and relatively poorer correlations vs the standard.</p><p><strong>Conclusion: </strong>Findings from this study support preliminary recommendations from the Bridge2AI-Voice Consortium recommending the use of smartphones paired with low-cost headset microphones as adequate methods of recording for large-scale voice data collection from a variety of clinical and nonclinical settings. Compared with recording using a tablet direct, a headset microphone controls for recording distance and reduces the effects of background noise, resulting in decreased variability in recording quality.</p><p><strong>Data availability: </strong>Data supporting the results reported in this article may be obtained upon request from the contact author.</p>","PeriodicalId":49954,"journal":{"name":"Journal of Voice","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Voice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jvoice.2024.08.029","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: As part of a larger goal to create best practices for voice data collection to fuel voice artificial intelligence (AI) research, the objective of this study was to investigate the ability of readily available iOS and Android tablets with and without low-cost headset microphones to produce recordings and subsequent acoustic measures of voice comparable to "research quality" instrumentation.

Methods: Recordings of 24 sustained vowel samples representing a wide range of typical and disordered voices were played via a head-and-torso model and recorded using a research quality standard microphone/preamplifier/audio interface. Acoustic measurements from the standard were compared with two popular tablets using their built-in microphones and with low-cost headset microphones at different distances from the mouth.

Results: Voice measurements obtained via tablets + headset microphones close to the mouth (2.5 and 5 cm) strongly correlated (r's > 0.90) with the research standard and resulted in no significant differences for measures of vocal frequency and perturbation. In contrast, voice measurements obtained using the tablets' built-in microphones at typical reading distances (30 and 45 cm) tended to show substantial variability in measurement, greater mean differences in voice measurements, and relatively poorer correlations vs the standard.

Conclusion: Findings from this study support preliminary recommendations from the Bridge2AI-Voice Consortium recommending the use of smartphones paired with low-cost headset microphones as adequate methods of recording for large-scale voice data collection from a variety of clinical and nonclinical settings. Compared with recording using a tablet direct, a headset microphone controls for recording distance and reduces the effects of background noise, resulting in decreased variability in recording quality.

Data availability: Data supporting the results reported in this article may be obtained upon request from the contact author.

从 Bridge2AI-Voice 声音实验中获得的基于证据的平板电脑录音建议。
研究背景作为创建语音数据收集最佳实践以促进语音人工智能(AI)研究这一更大目标的一部分,本研究的目的是调查带有或不带低成本耳机麦克风的现成 iOS 和安卓平板电脑是否能够生成与 "研究质量 "仪器相当的录音以及随后的语音声学测量结果:方法: 使用研究质量标准麦克风/前置放大器/音频接口,通过头和躯干模型播放 24 个持续元音样本的录音,这些样本代表了各种典型嗓音和失调嗓音。将该标准的声学测量结果与使用内置麦克风的两款流行平板电脑和距离口腔不同距离的低成本耳机麦克风进行了比较:结果:通过平板电脑和耳机麦克风靠近嘴部(2.5 厘米和 5 厘米)进行的声音测量结果与研究标准密切相关(r>0.90),在声频和扰动测量方面没有显著差异。相比之下,在典型的阅读距离(30 厘米和 45 厘米)下使用平板电脑内置麦克风进行的声音测量往往显示出很大的测量差异,声音测量的平均差异更大,与标准的相关性相对较差:本研究结果支持 Bridge2AI-Voice 联合会的初步建议,即建议使用智能手机搭配低成本耳机麦克风,作为从各种临床和非临床环境中进行大规模语音数据收集的适当记录方法。与直接使用平板电脑录音相比,耳机麦克风可控制录音距离并减少背景噪声的影响,从而降低录音质量的可变性:本文报告结果的支持数据可向联系作者索取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Voice
Journal of Voice 医学-耳鼻喉科学
CiteScore
4.00
自引率
13.60%
发文量
395
审稿时长
59 days
期刊介绍: The Journal of Voice is widely regarded as the world''s premiere journal for voice medicine and research. This peer-reviewed publication is listed in Index Medicus and is indexed by the Institute for Scientific Information. The journal contains articles written by experts throughout the world on all topics in voice sciences, voice medicine and surgery, and speech-language pathologists'' management of voice-related problems. The journal includes clinical articles, clinical research, and laboratory research. Members of the Foundation receive the journal as a benefit of membership.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信