Do-It-Yourself Voice Acoustic Analysis: A Companion to the DIY Voice Dosimeter Device.

IF 2.4 4区医学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY

Journal of Voice Pub Date : 2025-10-15 DOI:10.1016/j.jvoice.2025.09.032

Pasquale Bottalico, Charles J Nudelman, Yehya Sleiman Tellawi, Clarion Mendes

{"title":"Do-It-Yourself Voice Acoustic Analysis: A Companion to the DIY Voice Dosimeter Device.","authors":"Pasquale Bottalico, Charles J Nudelman, Yehya Sleiman Tellawi, Clarion Mendes","doi":"10.1016/j.jvoice.2025.09.032","DOIUrl":null,"url":null,"abstract":"Purpose: Voice acoustic analysis informs both scientific research and clinical voice rehabilitation. Adopting voice dosimetry would expand the use of acoustic measurement methods to collect data in the daily lives of individuals with voice disorders. In this editorial article, instructions for an open access, easy-to-use, and automated voice acoustic analysis software are provided. An implementation of this do-it-yourself (DIY) Voice Acoustic Analysis software is also provided.Method: The DIY Voice Acoustic Analysis software was developed using Python. Key acoustic voice parameters are included: sound pressure level (SPL), fundamental frequency, cepstral peak prominence (CPP), and vocal doses. Further, this software was implemented to analyze voice recordings from a university professor who wore a previously developed DIY Voice Dosimeter device for the duration of a 70-minute lecture.Results: The DIY Voice Acoustic Analysis software is available at https://github.com/SpAA-LAB/Dosimetry-App, and instruction videos are further available at that link. The present article demonstrates the software using the voice recordings from the professor.Conclusion: The DIY Voice Acoustic Analysis software is a tool for accessible voice measurement and is especially well-suited to be implemented in conjunction with the DIY Voice Dosimeter device.","PeriodicalId":49954,"journal":{"name":"Journal of Voice","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-10-15","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.2025.09.032","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

Purpose: Voice acoustic analysis informs both scientific research and clinical voice rehabilitation. Adopting voice dosimetry would expand the use of acoustic measurement methods to collect data in the daily lives of individuals with voice disorders. In this editorial article, instructions for an open access, easy-to-use, and automated voice acoustic analysis software are provided. An implementation of this do-it-yourself (DIY) Voice Acoustic Analysis software is also provided.

Method: The DIY Voice Acoustic Analysis software was developed using Python. Key acoustic voice parameters are included: sound pressure level (SPL), fundamental frequency, cepstral peak prominence (CPP), and vocal doses. Further, this software was implemented to analyze voice recordings from a university professor who wore a previously developed DIY Voice Dosimeter device for the duration of a 70-minute lecture.

Results: The DIY Voice Acoustic Analysis software is available at https://github.com/SpAA-LAB/Dosimetry-App, and instruction videos are further available at that link. The present article demonstrates the software using the voice recordings from the professor.

Conclusion: The DIY Voice Acoustic Analysis software is a tool for accessible voice measurement and is especially well-suited to be implemented in conjunction with the DIY Voice Dosimeter device.

查看原文本刊更多论文

DIY声音声学分析：DIY声音剂量计设备的伴侣。

目的：语音分析为科学研究和临床语音康复提供依据。采用声音剂量法将扩大声学测量方法的使用范围，以收集声音障碍患者日常生活中的数据。在这篇社论文章中，提供了一个开放访问，易于使用和自动语音声学分析软件的说明。本文还提供了一个自己动手（DIY）话音分析软件的实现。方法：采用Python语言开发DIY语音声学分析软件。主要的声音参数包括：声压级（SPL）、基频、倒谱峰突出（CPP）和声音剂量。此外，该软件被用于分析一位大学教授的录音，他戴着先前开发的DIY语音剂量计设备进行了70分钟的讲座。结果：DIY语音声学分析软件可在https://github.com/SpAA-LAB/Dosimetry-App上获得，并在该链接上进一步提供教学视频。本文使用教授的录音来演示该软件。结论：DIY语音声学分析软件是一种易于访问的语音测量工具，特别适合与DIY语音剂量计设备一起实施。

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 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.