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波兰句子矩阵测试在噪声下的语音可懂度测量。

Polish sentence matrix test for speech intelligibility measurement in noise.

机构信息

Institute of Acoustics, A. Mickiewicz University, Poznań, Poland.

出版信息

Int J Audiol. 2010 Jun;49(6):444-54. doi: 10.3109/14992021003681030.

Abstract

The purpose of this study was to develop the Polish sentence matrix test (PSMT) to measure intelligibility of speech presented against a background noise. The PSMT consists of five columns containing: 10 names, 10 verbs, 10 numerals, 10 adjectives, and 10 nouns. Since each word was available as a separate sound file, it was possible to generate different sentences by juxtaposing randomly selected words taken from respective columns. This approach allows 100,000 unique sentences of a fixed grammatical structure to be generated. The speech reception threshold (SRT), i.e. the signal-to-noise ratio (SNR) providing 50% speech intelligibility and S(50), the slope of an intelligibility function at the SRT point, were shown to be -9.6 dB and 17.1 %/dB, respectively. Note that in this study dB is regarded as dB SNR, otherwise reference is given. PSMT was also evaluated using an adaptive 1-up/1-down staircase procedure in investigations with and without participation of an experimenter. No significant differences were shown for SRTs obtained in these investigations.

摘要

本研究旨在开发波兰句子矩阵测试(PSMT),以衡量在背景噪声下的言语可懂度。PSMT 由五列组成,分别包含:10 个名称、10 个动词、10 个数字、10 个形容词和 10 个名词。由于每个单词都有单独的声音文件,因此可以通过随机选择来自各个列的单词来生成不同的句子。这种方法允许生成 100,000 个具有固定语法结构的独特句子。言语接受阈值(SRT),即提供 50%言语可懂度的信噪比(SNR)和 S(50),即在 SRT 点的可懂度函数的斜率,分别为-9.6 dB 和 17.1%/dB。请注意,在本研究中,dB 被视为 dB SNR,否则将给出参考。PSMT 还使用自适应 1-up/1-down 阶梯程序进行了评估,分别在有和没有实验者参与的情况下进行了研究。在这些研究中获得的 SRT 没有显示出显著差异。

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