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Improved perception of speech in noise and Mandarin tones with acoustic simulations of harmonic coding for cochlear implants

机译:通过对人工耳蜗植入的谐波编码进行声学模拟改善噪声和普通话中的语音感知

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摘要

Harmonic and temporal fine structure (TFS) information are important cues for speech perception in noise and music perception. However, due to the inherently coarse spectral and temporal resolution in electric hearing, the question of how to deliver harmonic and TFS information to cochlear implant (CI) users remains unresolved. A harmonic-single-sideband-encoder [(HSSE); Nie et al. (2008). Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing; Lie et al., (2010). Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing] strategy has been proposed that explicitly tracks the harmonics in speech and transforms them into modulators conveying both amplitude modulation and fundamental frequency information. For unvoiced speech, HSSE transforms the TFS into a slowly varying yet still noise-like signal. To investigate its potential, four- and eight-channel vocoder simulations of HSSE and the continuous-interleaved-sampling (CIS) strategy were implemented, respectively. Using these vocoders, five normal-hearing subjects’ speech recognition performance was evaluated under different masking conditions; another five normal-hearing subjects’ Mandarin tone identification performance was also evaluated. Additionally, the neural discharge patterns evoked by HSSE- and CIS-encoded Mandarin tone stimuli were simulated using an auditory nerve model. All subjects scored significantly higher with HSSE than with CIS vocoders. The modeling analysis demonstrated that HSSE can convey temporal pitch cues better than CIS. Overall, the results suggest that HSSE is a promising strategy to enhance speech perception with CIs.
机译:谐波和时间精细结构(TFS)信息是噪声和音乐感知中语音感知的重要线索。然而,由于电听力固有的较粗糙的频谱和时间分辨率,如何将谐波和TFS信息传递给人工耳蜗(CI)的用户仍未解决。谐波单边带编码器[(HSSE); Nie等。 (2008)。 IEEE声学,语音和信号处理国际会议论文集; Lie等人,(2010年)。已经提出了IEEE国际声学,语音和信号处理国际会议论文集的策略,该策略明确跟踪语音中的谐波,并将其转换为可同时传递幅度调制和基频信息的调制器。对于清晰的语音,HSSE将TFS转换为缓慢变化但仍像噪声的信号。为了研究其潜力,分别实施了HSSE的四通道和八通道声码器仿真以及连续交错采样(CIS)策略。使用这些声码器,在不同的掩蔽条件下评估了五名正常听力对象的语音识别性能;另外,还评估了另外五名听力正常的受试者的普通话识别能力。此外,使用听觉神经模型模拟了HSSE和CIS编码的普通话音调刺激引起的神经放电模式。 HSSE的所有受试者得分均明显高于CIS声码器。建模分析表明,HSSE可以比CIS更好地传达时间音调提示。总体而言,结果表明HSSE是增强CI语音感知能力的一种有前途的策略。

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