1 Hearing Systems Group, Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark.
Trends Hear. 2018 Jan-Dec;22:2331216518775293. doi: 10.1177/2331216518775293.
This study examined the perceptual consequences of three speech enhancement schemes based on multiband nonlinear expansion of temporal envelope fluctuations between 10 and 20 Hz: (a) "idealized" envelope expansion of the speech before the addition of stationary background noise, (b) envelope expansion of the noisy speech, and (c) envelope expansion of only those time-frequency segments of the noisy speech that exhibited signal-to-noise ratios (SNRs) above -10 dB. Linear processing was considered as a reference condition. The performance was evaluated by measuring consonant recognition and consonant confusions in normal-hearing and hearing-impaired listeners using consonant-vowel nonsense syllables presented in background noise. Envelope expansion of the noisy speech showed no significant effect on the overall consonant recognition performance relative to linear processing. In contrast, SNR-based envelope expansion of the noisy speech improved the overall consonant recognition performance equivalent to a 1- to 2-dB improvement in SNR, mainly by improving the recognition of some of the stop consonants. The effect of the SNR-based envelope expansion was similar to the effect of envelope-expanding the clean speech before the addition of noise.
本研究考察了三种基于 10-20Hz 之间的时变包络波动的多带非线性扩展的语音增强方案的感知后果:(a)在添加固定背景噪声之前对语音进行“理想化”包络扩展,(b)对噪声语音进行包络扩展,以及(c)仅对那些具有信噪比(SNR)高于-10dB 的时频段进行包络扩展的噪声语音。线性处理被视为参考条件。使用在背景噪声中呈现的辅音-元音无意义音节,通过测量正常听力和听力障碍者的辅音识别和辅音混淆来评估性能。与线性处理相比,噪声语音的包络扩展对整体辅音识别性能没有显著影响。相比之下,基于 SNR 的噪声语音包络扩展改善了整体辅音识别性能,等效于 SNR 提高 1-2dB,主要通过改善一些塞音的识别。基于 SNR 的包络扩展的效果类似于在添加噪声之前扩展干净语音的包络的效果。