SENTENCES FOR TESTING SPEECH-INTELLIGIBILITY IN NOISE
SENTENCES FOR TESTING SPEECH-INTELLIGIBILITY IN NOISE
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DOI：
10.3109/01050398209076203
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发表时间：
1982-01-01
期刊：
影响因子：
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通讯作者：
HAGERMAN, B
中科院分区：
文献类型：
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作者：
HAGERMAN, B
一份由10个瑞典口语句子组成的清单被计算机编辑，以获得具有完全相同的声音内容但具有新句子的新清单。计算机从语音材料中合成一种噪声，以产生完全相同的语音和噪声频谱。噪音也被低频噪音调幅，使其听起来更自然。该材料对20名听力正常的[人类]受试者进行了单耳测试。一些名单的可理解性的平等进行了调查。在噪声中重复阈值测量显示，当学习效果超过平衡时，SD为0.44 dB。只有一小部分学习效果是由于学习单词材料。可懂度曲线拟合的数据点，在噪声和无噪声显示最大陡度分别为25和10%/dB。在恒定的信号噪声比（S/N），最好的性能是在语音电平为53分贝。
A list of 10 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 [human] subjects. The equality in intelligibility of some of the lists was investigated. Repeated threshold measurements in noise showed a SD of 0.44 dB when the learning effect was outbalanced. Only a small part of the learning effect was due to learning 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.