首页> 外文期刊>The Journal of the Acoustical Society of America >Effects of vocal loudness variation on spectrum balance as reflected by the alpha measure of long-term-average spectra of speech
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Effects of vocal loudness variation on spectrum balance as reflected by the alpha measure of long-term-average spectra of speech

机译:语音响度变化对频谱平衡的影响,如长期平均语音频谱的alpha度量所反映的

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摘要

The overall slope of long-term-average spectrum (LTAS) decreases if vocal loudness increases. Therefore, changes of vocal loudness also affects the a measure, defined as the ratio of spectrum intensity above and below 1000 Hz. The effect on a 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 (Le) amounted to about 28 dB and the mean range of a 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 a 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 a indicates that for a voice L-eq can be used for predicting alpha. (c) 2006 Acoustical Society of America.
机译:如果声音响度增加,则长期平均频谱(LTAS)的总体斜率会降低。因此,声音响度的变化也会影响该量度,该量度被定义为高于和低于1000 Hz的频谱强度之比。分析了15种男声和16种女声在不同声响度下阅读文本对响度变化的影响。对于男女受试者,等效声级(Le)的平均范围约为28 dB,a的平均范围为19.0和11.7 dB。如果排除了最柔和的发声,则可以用二次函数或线性方程来近似L-eq与α的关系。使用这样的方程式,针对每个受试者观察到的所有L-eq的值计算a,并将其与观察到的值进行比较。最大和平均绝对误差为2.4 dB,介于0.1和0.6 dB之间。当忽略最柔和的发声并使用线性方程式时,最大误差小于2 dB,平均绝对误差在0.2和0.7 dB之间。 L-eq与a之间的强相关性表明,语音L-eq可用于预测alpha。 (c)2006年美国声学学会。

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