Sundberg Johan, Nordenberg Maria
KTH Music Acoustics, Department of Speech Music Hearing, KTH, and School of Computer Science and Communication, KTH, Stockholm SE-100 44, Sweden.
J Acoust Soc Am. 2006 Jul;120(1):453-7. doi: 10.1121/1.2208451.
The overall slope of long-term-average spectrum (LTAS) decreases if vocal loudness increases. Therefore, changes of vocal loudness also affects the alpha measure, defined as the ratio of spectrum intensity above and below 1000 Hz. The effect on alpha of loudness variation was analyzed in 15 male and 16 female voices reading a text at different degrees of vocal loudness. The mean range of equivalent sound level (L(eq)) amounted to about 28 dB and the mean range of alpha to 19.0 and 11.7 dB for the female and male subjects. The L(eq) vs. alpha relationship could be approximated with a quadratic function, or by a linear equation, if softest phonation was excluded. Using such equations alpha was computed for all values of L(eq) observed for each subject and compared with observed values. The maximum and the mean absolute errors were 2.4 dB and between 0.1 and 0.6 dB. When softest phonation was disregarded and linear equations were used, the maximum error was less than 2 dB and the mean absolute errors were between 0.2 and 0.7 dB. The strong correlation between L(eq) and alpha indicates that for a voice L(eq) can be used for predicting alpha.
如果声音响度增加,长期平均频谱(LTAS)的整体斜率会降低。因此,声音响度的变化也会影响阿尔法测量值,阿尔法测量值定义为1000赫兹以上和以下频谱强度的比值。在15名男性和16名女性以不同声音响度朗读文本时,分析了响度变化对阿尔法的影响。女性和男性受试者的等效声级(L(eq))平均范围约为28分贝,阿尔法平均范围分别为19.0分贝和11.7分贝。如果排除最轻柔发声,L(eq)与阿尔法的关系可用二次函数或线性方程近似。使用这些方程,针对每个受试者观察到的所有L(eq)值计算阿尔法,并与观察值进行比较。最大绝对误差和平均绝对误差分别为2.4分贝以及0.1至0.6分贝。当忽略最轻柔发声并使用线性方程时,最大误差小于2分贝,平均绝对误差在0.2至0.7分贝之间。L(eq)与阿尔法之间的强相关性表明,对于一个声音而言,L(eq)可用于预测阿尔法。