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一款自适应定向麦克风助听器的评估

Evaluation of an adaptive, directional-microphone hearing aid.

作者信息

Ricketts Todd, Henry Paula

机构信息

Dan Maddox Hearing Aid Research Laboratory, Vanderbilt Bill Wilkerson Center, Nashville, TN 37212, USA.

出版信息

Int J Audiol. 2002 Mar;41(2):100-12. doi: 10.3109/14992020209090400.

Abstract

The effectiveness of adaptive directional processing for improvement of speech recognition in comparison to non-adaptive directional and omni-directional processing was examined across four listening environments intended to simulate those found in the real world. The test environment was a single, moderately reverberant room with four loudspeaker configurations: three with fixed discrete noise source positions and one with a single panning noise source. Sentence materials from the Hearing in Noise Test (HINT) and Connected Speech Test (CST) were selected as test materials. Speech recognition across all listening conditions was evaluated for 20 listeners fitted binaurally with Phonak Claro behind-the-ear (BTE) style hearing aids. Results indicated improved speech recognition performance with adaptive and non-adaptive directional processing over that measured with the omnidirectional processing across all four listening conditions. While the magnitudes of directional benefit provided to subjects listening in adaptive and fixed directional modes were similar in some listening environments, a significant speech recognition advantage was measured for the adaptive mode in specific conditions. The advantage for adaptive over fixed directional processing was most prominent when a competing noise was presented from the listener's sides (both fixed and panning noise conditions), and was partially predictable from electroacoustically measured directional pattern data.

摘要

为了模拟现实世界中的环境,研究人员在四种聆听环境中考察了自适应定向处理与非自适应定向处理和全向处理相比,对改善语音识别的有效性。测试环境是一个单一的、有适度混响的房间,有四种扬声器配置:三种具有固定的离散噪声源位置,一种具有单个平移噪声源。从噪声环境下言语测试(HINT)和连贯语音测试(CST)中选取句子材料作为测试材料。对20名双耳佩戴峰力Claro耳背式(BTE)助听器的听众,评估了所有聆听条件下的语音识别情况。结果表明,在所有四种聆听条件下,与全向处理相比,自适应和非自适应定向处理都提高了语音识别性能。虽然在某些聆听环境中,自适应定向模式和固定定向模式下为受试者提供的定向效益幅度相似,但在特定条件下,自适应模式的语音识别有显著优势。当从听众两侧呈现竞争噪声时(固定噪声和平移噪声条件),自适应定向处理相对于固定定向处理的优势最为明显,并且可以从电声测量的定向模式数据中部分预测到这一优势。

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