Department of Audiology, All India Institute of Speech and Hearing, Mysore, India.
Int J Audiol. 2011 May;50(5):349-52. doi: 10.3109/14992027.2010.549516. Epub 2011 Feb 2.
The objective of the study was to determine the speech perception abilities for spectrally modified speech signals in individuals with auditory dys-synchrony.
The speech identification scores of 30 normal hearing and 12 individuals diagnosed as having auditory dys-synchrony were studied.
Phonemically balanced words in Kannada developed by Yathiraj and Vijayalakshmi (2005) were presented unfiltered and filtered at 1700 Hz low-pass and 1700 Hz high-pass cut-off frequencies, and speech identification performance was assessed.
Results revealed that there is a highly significant difference in speech identification scores for unfiltered and low-pass filtered words. This difference could be attributed to the physiological coding deficits of low frequency information which are usually coded by phase locked responses in auditory nerve fibers ( Sek & Moore, 1995 ).
Thus, low-pass filtered words can be used as an effective tool to identify individuals with auditory dys-synchrony, especially those who have good speech identification scores in quiet.
本研究旨在确定听觉失同步个体对频谱修正语音信号的言语感知能力。
研究了 30 名正常听力者和 12 名被诊断为听觉失同步者的语音识别得分。
由 Yathiraj 和 Vijayalakshmi（2005 年）开发的马拉雅拉姆语音位平衡词以未滤波和 1700 Hz 低通及 1700 Hz 高通截止频率滤波的方式呈现，并评估语音识别性能。
结果表明，未滤波词和低通滤波词的语音识别得分存在显著差异。这种差异可能归因于低频信息的生理编码缺陷，这些信息通常由听觉神经纤维的相位锁定反应编码（Sek 和 Moore，1995 年）。
因此，低通滤波词可以作为识别听觉失同步个体的有效工具，特别是那些在安静环境下语音识别得分较好的个体。
