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缩小科学与临床之间的差距:学术和专业实践的经验教训 - 第 A 部分:声音质量的知觉 - 听觉判断、声学嗓音信号分析和嗓音自我评估。

Reducing the GAP between science and clinic: lessons from academia and professional practice - part A: perceptual-auditory judgment of vocal quality, acoustic vocal signal analysis and voice self-assessment.

机构信息

Centro de Estudos da Voz - CEV - São Paulo (SP), Brasil.

Escola Paulista de Medicina - EPM, Universidade Federal de São Paulo - UNIFESP - São Paulo (SP), Brasil.

出版信息

Codas. 2022 Aug 1;34(5):e20210240. doi: 10.1590/2317-1782/20212021240pt. eCollection 2022.

DOI:10.1590/2317-1782/20212021240pt
PMID:35920467
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9886186/
Abstract

During the XXVIII Brazilian Congress of SBFa, 24 specialists met and, from a leading position on scientific research as a tool for connecting laboratory and clinic, five fronts of knowledge of the voice specialty were discussed as following: Perceptual-auditory judgment of vocal quality; 2. Acoustic analysis of the vocal signal; 3. Voice self-assessment; 4. Traditional techniques of therapy; 5. Modern techniques of electrostimulation and photobiomodulation (PBMT) in voice. Part "a" of this publication was associated with the consolidation of the analyses of the first three aspects. The trend in the perceptual-auditory judgment of vocal quality was related to the use of standard protocols. The acoustic evaluation of the vocal signal is accessible and can be done descriptively or by extraction of parameters, thus preferring multiparametric measures. Finally, the analysis of the individual himself closes this triad of voice documentation, which will be the basis for the conclusion of the evaluation, reference for monitoring progress, and evaluation of treatment results.

摘要

在第 XXVIII 届巴西 SBFa 大会上,24 名专家聚集一堂,从科学研究作为连接实验室和临床的工具的主导地位出发,讨论了嗓音专业的五个知识领域:嗓音质量的感知-听觉判断;2. 嗓音信号的声学分析;3. 嗓音自我评估;4. 传统的治疗技术;5. 电刺激和光生物调节(PBMT)在嗓音中的现代技术。本出版物的“a”部分与前三个方面的分析的巩固有关。在嗓音质量的感知-听觉判断方面的趋势与使用标准协议有关。对嗓音信号的声学评估是可及的,可以通过描述性或参数提取来完成,因此更喜欢多参数测量。最后,个体自身的分析结束了这一声音记录的三联体,这将是评估结论的基础,是监测进展的参考,也是治疗结果的评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c69/9886186/8dd99f2c5d2a/codas-34-5-e20210240-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c69/9886186/3b9562f0ca06/codas-34-5-e20210240-g01-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c69/9886186/96170fb0abe5/codas-34-5-e20210240-g02-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c69/9886186/d187746000b7/codas-34-5-e20210240-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c69/9886186/8dd99f2c5d2a/codas-34-5-e20210240-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c69/9886186/3b9562f0ca06/codas-34-5-e20210240-g01-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c69/9886186/96170fb0abe5/codas-34-5-e20210240-g02-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c69/9886186/d187746000b7/codas-34-5-e20210240-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c69/9886186/8dd99f2c5d2a/codas-34-5-e20210240-g02.jpg

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