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改进的语义细分法及其在声品质评价中的应用
引用本文:袁骥轩,周世琼,宋柱梅.改进的语义细分法及其在声品质评价中的应用[J].深圳信息职业技术学院学报,2012,10(1):84-86.
作者姓名:袁骥轩  周世琼  宋柱梅
作者单位:深圳信息职业技术学院交通与环境学院,广东深圳,518172
基金项目:深圳信息职业技术学院2010校级一般项目
摘    要:在对声品质的实际评价过程当中,评价者对某个评价对象给出确定的评价值比较困扰,若是给出一个区间范围,则会比较方便,从而形成了灰色区间法;而语义细分法很适合那些没有经验,未经培训的评价者。因此,本文提出将灰数区间代入到语义细分法中,使评价者的能够更加顺利的对样本给予评价。最后用声品质评价为例验证了此种方法,结果令人满意。

关 键 词:灰色区间理论  语义细分法  评价方法  声品质  响度

An Improved Semantic Differential Method and Its Application to Sound Quality Evaluation
YUAN Jixuan,ZHOU Shiqiong,SONG Zhumei.An Improved Semantic Differential Method and Its Application to Sound Quality Evaluation[J].Journal of Shenzhen Institute of Information Technology,2012,10(1):84-86.
Authors:YUAN Jixuan  ZHOU Shiqiong  SONG Zhumei
Institution:(Shenzhen Institute of Information Technology,Guangdong,518172,China)
Abstract:In the process of sound quality evaluation,it is often difficult for an evaluator to give a definite score to a certain evaluatee(things to be evaluated),yet it is not so difficult to give a score range,which results in the Grey Interval Method(GIM).For inexperienced evaluators,the Semantic Differential Method(SDM) is more operationable.Therefore,we propose a new method that introduces GIM into SDM,rendering evaluation easier to perform.An experiment is conducted and satisfactory results are obtained.
Keywords:grey interval theory  semantic differential method  evaluation method  sound quality  loudness
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