The development of the audiometer to estimate the listening ability of speech formants.

在这项研究中，我们提出了一种新型的听力计，用于评估听障者的言语听力能力。在之前的实验中，我们已经证明了语音听力能力与听觉区存在的形成区信息之间存在明确的关系。当我们使用单共振分析型助听器时，不仅在感觉神经性听障人群中观察到这种关系，而且在正常听力人群中也观察到这种关系，通过增加HTL和彩色掩蔽噪声使听力区域变小。基于这些结果，我们认为单共振信号可能比正弦波更适合测量听力剖面。这种既能产生单共振波，又能产生正弦波的新型听力计，已被实现为个人电脑的软件工具。使用听力计中的一个工具，我们可以根据助听器的压缩特性和夹在UCL和html之间的测量听力区域，立即估计语音听力能力。我们检查了听力正常的人和听力受损的人的听力图。在某些情况下，单谐振信号的测量结果与正弦波的测量结果存在一定的差异。受试者似乎注意到的不是共振频率的信息，而是另一个不同频率的信息。接下来，我们进行了元音听力测试，控制了样品的第一和第二形成峰峰值水平。结果通过元音类别和类别相似度进行检验。当我们考虑基于振幅压缩型助听器的F1， F2信息的压缩系数时，他们显示了改善元音识别的可能性。

In this research, we propose a new type of audiometer, which estimates speech listening ability of the hearing impaired. In previous experiments, we have shown a clear relation between speech listening ability and formant information existing in the hearing area. When we are using the single-resonant-analysis-type hearing aid, this relation was observed not only in sensory-neural hearing-impaired persons but also in normal hearing people whose hearing areas were made smaller by increasing HTL with colored masking noise. Based on these results, we consider that single resonant signals may be more suitable for measuring hearing profiles than sine waves. The new audiometer, which generates single resonant waves as well as sine waves, has been realized as a software tool for a personal computer. Using one of the tools in the audiometer, we can immediately estimate speech-listening ability from the compression characteristic of the hearing aid and the measured hearing area that is sandwiched between UCL and HTL.We examine the audiograms of normal hearing persons and hearing impaired persons. The results of the measurement with single resonant signals showed some difference from those with sine waves in some cases. The subjects seem to notice not the information at the resonant frequency, but another one at different frequency. Next, we conducted listening tests for vowels with controlling first and second formant peak levels of the samples. The results are examined by their vowel categories and category similarities. They showed a possibility to improve the vowel identification when we consider compression coefficients based on F1, F2 information for amplitude compression type hearing aids.