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On the importance of preserving the harmonics and neighboring partials prior to vocoder processing: Implications for cochlear implants

机译:关于在声码器处理之前保留谐波和相邻声部的重要性:对人工耳蜗的影响

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摘要

Pre-processing based noise-reduction algorithms used for cochlear implants (CIs) can sometimes introduce distortions which are carried through the vocoder stages of Cl processing. While the background noise may be notably suppressed the harmonic structure and/or spectral envelope of the signal may be distorted. This study investigates the potential of preserving the signal's harmonic structure in voiced segments (e.g., vowels) as a means of alleviating the negative effects of pre-processing. The hypothesis tested is that preserving the harmonic structure of the signal is crucial for subsequent vocoder processing. The implications of preserving either the main harmonic components occurring at multiples of FO or the main harmonics along with adjacent partials are investigated. This is done by first pre-processing noisy speech with a conventional noise-reduction algorithm, regenerating the harmonics, and vocoder processing the stimuli with eight channels of stimulation in steady speech-shaped noise. Results indicated that preserving the main low-frequency harmonics (spanning 1 or 3 kHz) alone was not beneficial. Preserving, however, the harmonic structure of the stimulus, i.e., the main harmonics along with the adjacent partials, was found to be critically important and provided substantial improvements (41 percentage points) in intelligibility.
机译:用于耳蜗(CI)的基于预处理的降噪算法有时会引入失真,这些失真是通过Cl处理的声码器级携带的。尽管可以显着抑制背景噪声,但是信号的谐波结构和/或频谱包络可能会失真。这项研究调查了在有声段(例如元音)中保留信号谐波结构的潜力,以减轻预处理的负面影响。测试的假设是,保持信号的谐波结构对于后续声码器处理至关重要。研究了保留在FO的倍数处出现的主要谐波分量或与相邻部分一起保留主要谐波的含义。这是通过以下步骤完成的:首先使用常规的降噪算法对嘈杂的语音进行预处理,重新生成谐波,然后声码器在稳定的语音形噪声中通过八个刺激通道处理刺激。结果表明,仅保留主要的低频谐波(跨越1或3 kHz)是没有好处的。然而,发现保持刺激的谐波结构,即主要的谐波以及相邻的部分,是至关重要的,并且在清晰度方面提供了实质性的改善(41个百分点)。

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  • 来源
    《Noise & Vibration in Industry》 |2012年第2期|p.29|共1页
  • 作者

    Yi Hu; P Loizou;

  • 作者单位

    Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53201, USA;

    Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53201, USA;

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