Branstetter Brian K, Trickey Jennifer S, Aihara Hitomi, Finneran James J, Liberman Tori R
National Marine Mammal Foundation, 2240 Shelter Island Drive, No. 200, San Diego, California 92106.
G2 Software Systems Inc., 4250 Pacific Highway, Suite 125, San Diego, California 92110.
J Acoust Soc Am. 2013 Dec;134(6):4556. doi: 10.1121/1.4824680.
Metrics related to the frequency spectrum of noise (e.g., critical ratios) are often used to describe and predict auditory masking. In this study, detection thresholds for a 10 kHz tone were measured in the presence of anthropogenic, natural, and synthesized noise. Time-domain and frequency-domain metrics were calculated for the different noise types, and regression models were used to determine the relationship between noise metrics and masked tonal thresholds. Statistical models suggested that detection thresholds, masked by a variety of noise types at a variety of noise levels, can be explained with metrics related to the spectral density of noise and the degree to which amplitude modulation is correlated across frequency regions of the noise. The results demonstrate the need to include time-domain metrics when describing and predicting auditory masking.
与噪声频谱相关的指标（如临界比率）常用于描述和预测听觉掩蔽。在本研究中，在存在人为噪声、自然噪声和合成噪声的情况下测量了10 kHz纯音的检测阈值。针对不同的噪声类型计算了时域和频域指标，并使用回归模型来确定噪声指标与掩蔽纯音阈值之间的关系。统计模型表明，在各种噪声水平下被各种噪声类型掩蔽的检测阈值，可以用与噪声频谱密度以及噪声频率区域间幅度调制的相关程度有关的指标来解释。结果表明，在描述和预测听觉掩蔽时需要纳入时域指标。
