助听器中广义最大后验谱幅(GMAPA)语音增强算法的评价

Ying-Hui Lai, Yu-Cheng Su, Yu Tsao, S. Young
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引用次数: 10

摘要

语音增强是数字助听器的重要组成部分,其目的是提高接收语音信号的信噪比,从而提高听力损失个体的语音清晰度。最近,我们提出了一种广义最大后验谱幅(GMAPA)语音增强算法。经过一系列客观评价和语音识别实验,证明了该算法的有效性。在本研究中,我们通过实验观察到,在模拟助听器测试条件下,GMAPA也提供了明显的长期信噪比增加。结果表明,GMAPA可以很好地应用于数字助听器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of generalized maximum a posteriori spectral amplitude (GMAPA) speech enhancement algorithm in hearing aids
Speech enhancement is an important segment in digital hearing aids, which aims to improve signal-to-noise (SNR) level of received speech signals and thus enhance speech intelligibility for hearing-loss individuals. Recently, we proposed a generalized maximum a posteriori spectral amplitude (GMAPA) speech enhancement algorithm. The proposed GMAPA algorithm has been confirmed effective in a series of objective evaluations and speech recognition tests. In this study, we conduct experiments and observe that GMAPA also provides clear long-term SNR increases in a simulated hearing-aids testing condition. The result demonstrates that GMAPA can be suitably applied in digital hearing aids.
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