权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Development for Evaluation of Pathological Voices (rough, voice tremor) aimed to support of Clinical Inspection.

病理声音（粗糙、声音震颤）评估的开发旨在支持临床检查。

基本信息

批准号：
06680867
负责人：
HIRAMA Junji
金额：
$ 1.41万
依托单位：
Kanazawa Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1994
资助国家：
日本
起止时间：
1994 至 1995
项目状态：
已结题

项目摘要

In this paper. Author investigated effect of the fluctuation of fundamental frequency (F _0) on the identification of pathological of two kinds of voice qualities, rough and voice tremor.The aim of this study is to examine the relationships between the acoustic characteristics and psychoacoustic judgment on the basis of the fluctuation of F _0.And the acoustic impression training system and voice diagnosis equipment (clinical examination) of pathological voices for the "laryngologists" were developed.The procedures and finding in this study are summerized as follows.(1) Characteristics of spectral peakes of characteristics shapes in spectrum domein of fluctuations of the time series, for fundamental frequency (F _0), were examined for a pathological voice which was psychoacoustically evaluated as "mainly rough and voice tremor".(2) Synthetic vowels/a/with frequency modulated F _0 fluctuation (FM model) were generated for systematic combination of modulation parameters.And the time series of fluctuations of F _0 can be generated from the "Slope-Peak model" as the first-order approximation.Also, by using the each model, synthetic vowel/a/with F _0 fluctuation were generated respectively.Subjects were asked to listen to synthetic voices and evaluated pyschoacoustic categories (rough and voice tremor).The following results were obtained.(1) Relationships between the parameters for each model ( "FM" and "Slope-Peak" model) and the categories for the pathological voices were found.(2) The acoustic impression training system and voice clinical examination system of pathological voice for "laryngologists" would be attractive in actual clinical inspection.These results would be usefull for medical electronics and biological engineering, also to clinical examination of voice.

在这篇论文中。本文研究了基频(F_0)的起伏对两种嗓音质量的病态识别的影响。本研究的目的是在F_0起伏的基础上，探讨声学特性与心理声学判断的关系。研制了病理性嗓音的声学印象训练系统和语音诊断仪(临床检查)。本研究的步骤和结果总结如下：(1)在时间序列的起伏频谱中，对于基频(F_0)，(2)合成元音/a/和频率调制的F_0波动(FM模型)，用于系统地组合调制参数。并且可以从“斜率-峰值模型”中产生F_0波动的时间序列作为一阶近似。此外，通过使用每个模型，分别产生了具有F_0波动的合成元音/a/。受试者被要求听合成声音，并评估其声学类别(粗糙和声音震颤)。结果表明：(1)每个模型(“FM”和“Slope-Peak”模型)的参数与病态嗓音类别之间的关系。(2)“喉科医生”病态嗓音的声学印象训练系统和嗓音临床检查系统在实际的临床检查中是有吸引力的。这些结果将对医学电子学和生物工程以及嗓音的临床检查有帮助。