Hagerman B
Scand Audiol. 1982;11(2):79-87. doi: 10.3109/01050398209076203.
A list of ten spoken Swedish sentences was computer edited to obtain new lists with exactly the same content of sound, but with new sentences. A noise was synthesized from the speech material by the computer to produce exactly the same spectrum of speech and noise. The noise was also amplitude modulated by a low frequency noise to make it sound more natural. This material was tested monaurally on 20 normal-hearing subjects. The equality in intelligibility of some of the lists was investigated. Repeated threshold measurements in noise showed a standard deviation of 0.44 dB when the learning effect was outbalanced. Only a small part of the learning effect was due to learning of the word material. Intelligibility curves fitted to the data points in noise and without noise showed maximum steepnesses of 25 and 10%/dB respectively. At constant signal to noise ratio (S/N) the best performance was achieved at a speech level of 53 dB.
一份包含十个瑞典语口语句子的列表经计算机编辑,以获得内容完全相同但句子不同的新列表。计算机从语音材料中合成噪声,以产生与语音和噪声完全相同的频谱。该噪声还通过低频噪声进行幅度调制,使其听起来更自然。此材料在20名听力正常的受试者上进行了单耳测试。对一些列表的可懂度相等性进行了研究。当学习效应被抵消时,在噪声中重复进行的阈值测量显示标准差为0.44分贝。学习效应中只有一小部分归因于单词材料的学习。拟合噪声和无噪声数据点的可懂度曲线分别显示最大斜率为25%/分贝和10%/分贝。在恒定信噪比(S/N)下,在53分贝的语音水平下可获得最佳性能。