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Effects of Adaptation Rate and Noise Suppression on the Intelligibility of Compressed-Envelope Based Speech

机译:自适应率和噪声抑制对基于压缩包络的语音清晰度的影响

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摘要

Temporal envelope is the primary acoustic cue used in most cochlear implant (CI) speech processors to elicit speech perception for patients fitted with CI devices. Envelope compression narrows down envelope dynamic range and accordingly degrades speech understanding abilities of CI users, especially under challenging listening conditions (e.g., in noise). A new adaptive envelope compression (AEC) strategy was proposed recently, which in contrast to the traditional static envelope compression, is effective at enhancing the modulation depth of envelope waveform by making best use of its dynamic range and thus improving the intelligibility of envelope-based speech. The present study further explored the effect of adaptation rate in envelope compression on the intelligibility of compressed-envelope based speech. Moreover, since noise reduction is another essential unit in modern CI systems, the compatibility of AEC and noise reduction was also investigated. In this study, listening experiments were carried out by presenting vocoded sentences to normal hearing listeners for recognition. Experimental results demonstrated that the adaptation rate in envelope compression had a notable effect on the speech intelligibility performance of the AEC strategy. By specifying a suitable adaptation rate, speech intelligibility could be enhanced significantly in noise compared to when using static envelope compression. Moreover, results confirmed that the AEC strategy was suitable for combining with noise reduction to improve the intelligibility of envelope-based speech in noise.
机译:时间包络是大多数耳蜗植入(CI)语音处理器中使用的主要声音提示,用于为装有CI设备的患者引起语音感知。包络压缩会缩小包络的动态范围,并因此降低CI用户的语音理解能力,尤其是在具有挑战性的收听条件下(例如,在噪音中)。最近提出了一种新的自适应包络压缩(AEC)策略,与传统的静态包络压缩相反,该策略可通过充分利用动态范围来提高包络波形的调制深度,从而提高基于包络的清晰度言语。本研究进一步探讨了包络压缩中的自适应率对基于压缩信封的语音清晰度的影响。此外,由于降噪是现代CI系统中的另一个基本单元,因此还研究了AEC和降噪的兼容性。在这项研究中,聆听实验是通过将语音编码的句子呈现给正常的听众进行识别的。实验结果表明,包络压缩中的自适应率对AEC策略的语音清晰度性能有显着影响。通过指定合适的自适应速率,与使用静态包络压缩时相比,可以显着提高语音的清晰度。此外,结果证实了AEC策略适合与降噪结合使用,以提高基于包络的语音在噪声中的清晰度。

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  • 作者

    Ying-Hui Lai; Yu Tsao; Fei Chen;

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  • 年(卷),期 -1(10),7
  • 年度 -1
  • 页码 e0133519
  • 总页数 19
  • 原文格式 PDF
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