用客观测量数据预测微型扬声器感知音质的复回归模型(英文)  

A multiple regression model for predicting micro loudspeaker perceptual quality using objective measurement data

作　　者：刘紫赟[1] 沈勇[1] 王思理[1] 沈坚[1] 

机构地区：[1]近代声学教育部重点实验室,南京大学声学研究所,南京210093

出　　处：《南京大学学报（自然科学版）》2012年第5期648-653,共6页Journal of Nanjing University（Natural Science）

基　　金：National Natural Science Foundation of China(11274172)

摘　　要：本文阐述了一种预测微型扬声器感知音质的复回归模型.其基于对若干扬声器的客观参数测量和听音试验结果分析,呈现了微型扬声器的客观参数特征与主观感知音质的联系.该模型在现有的音质预测模型基础上进行了修改,以适应微型扬声器的带宽与失真等特性.试验中所有微型扬声器的测量均在消声室中进行,测试时微型扬声器处于0.1W输入功率的小信号状态.微型扬声器的频响曲线和总谐波失真(THD)数据均以高频域分辨率测得.从客观测量数据中提取的一些特征参数用来在模型中描述扬声器的特性.该模型参考现有模型中应用的6个特征参数,针对微型扬声器的特征进行了修改.为控制听音试验中的变量,将所有微型扬声器在消声室中录音后,通过图形化界面在计算机上由听音员进行评价.所有参加试验的听音员均接受过听音训练并具有正常的听力水平.听音员被要求根据激励的频谱平衡、清晰度、失真和异音状况进行评价.所有听音员的数据经F-检验在扬声器因素效应上都非常显著.在复回归分析中,6个特征参数中有3个表现出较好的符合度.该模型可表征对微型扬声器听音评价72.5%的变化,并达到0.733的相关度.方差分析表明,该模型的预测结果是显著的.该模型表明,微型扬声器的频谱平滑度是与听音评价最为相关的特征参数.A multiple regression model for predicting micro loudspeaker＇s perceptual quality is presented in this paper.This model is based on listening test results and the objective measured data of several loudspeakers.It provides a way to know the relationship between subjective features and objective parameters.The existing models mostly base on high-quality loudspeakers with little distortion or band limitation.Things can be very different in case of micro loudspeakers,because the distortion and band limitation can be important factors of subjective sound quality.The measuring of loudspeakers was conducted in an anechoic chamber with high resolution in frequency domain.The micro loudspeakers under test were mounted in a box which was clamped in free space.Frequency response and total harmonic distortion（THD） were measured using sweep-frequency method.Every micro loudspeaker was measured under 0.1 W input power for small signal condition.Several features were extracted from the anechoic measurements data.These features used in existing models were not very suitable for describing the micro loudspeakers,because of the band limit and distortion.So the variables were modified.The listening tests were conducted in a well-controlled situation.In order to keep the experiment variables in good control,a recording was made for every loudspeaker.The recording conditions were exactly same between different loudspeakers.The recordings were made in an anechoic chamber as the same to the measurements.The listening tests were designed as a multiple comparison with graded preference response.The tests were supported by a graphical user interface program on PC.All subjects in the listening tests were well trained and with normal hearing.The listeners＇ task was to rate their preference grade of each stimuli with considering spectral balance,clarity,distortion and abnormal sound,but disregarding the spaciousness.The preference ratings from each listener were analyzed using F-test.All the listeners＇ data get a highly significan

关 键 词：微型扬声器 感知音质 预测模型 复回归 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]