混响式自我掩蔽和重叠掩蔽对人工耳蜗使用者言语识别的影响。

The effects of reverberant self- and overlap-masking on speech recognition in cochlear implant listeners.

作者信息

Desmond Jill M, Collins Leslie M, Throckmorton Chandra S

机构信息

Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708

出版信息

J Acoust Soc Am. 2014 Jun;135(6):EL304-10. doi: 10.1121/1.4879673.

DOI:10.1121/1.4879673

PMID:24907838

Abstract

Many cochlear implant (CI) listeners experience decreased speech recognition in reverberant environments [Kokkinakis et al., J. Acoust. Soc. Am. 129(5), 3221-3232 (2011)], which may be caused by a combination of self- and overlap-masking [Bolt and MacDonald, J. Acoust. Soc. Am. 21(6), 577-580 (1949)]. Determining the extent to which these effects decrease speech recognition for CI listeners may influence reverberation mitigation algorithms. This study compared speech recognition with ideal self-masking mitigation, with ideal overlap-masking mitigation, and with no mitigation. Under these conditions, mitigating either self- or overlap-masking resulted in significant improvements in speech recognition for both normal hearing subjects utilizing an acoustic model and for CI listeners using their own devices.

摘要

许多人工耳蜗（CI）使用者在混响环境中语音识别能力会下降[科基纳基斯等人，《美国声学学会杂志》129(5)，3221 - 3232(2011)]，这可能是由自掩蔽和重叠掩蔽共同作用导致的[博尔特和麦克唐纳，《美国声学学会杂志》21(6)，577 - 580(1949)]。确定这些效应在多大程度上降低CI使用者的语音识别能力，可能会影响混响减轻算法。本研究比较了理想自掩蔽减轻、理想重叠掩蔽减轻以及不减轻情况下的语音识别。在这些条件下，减轻自掩蔽或重叠掩蔽都能显著提高使用声学模型的正常听力受试者以及使用自身设备的CI使用者的语音识别能力。