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Published on: October 3, 2018
Impact of low-pass filtering on masking release in understanding Mandarin sentences
Hua Li1, Xinyu Zhang1, Yong Feng2
1School of Biomedical Engineering, Shenzhen University, Shenzhen, China905249388@qq.com, xyzhang9@szu.edu.cn.
Abstract:
The present work assesses the effect of low-pass filtering on masking release in Mandarin sentence recognition. Mandarin sentences were masked by steady-state noise and two-talker masker, processed by low-pass filtering, and presented to normal-hearing listeners to recognize. Negative release was observed at low-pass filtering cutoff frequencies ≤750 Hz, with listeners showing better performance under the steady-state noise condition than under the two-talker masker condition. The negative release was affected by the input signal-to-noise ratio. Language characteristics might partially account for the negative release observed with Mandarin speech.
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