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Speech Perception in Noise with a Harmonic Complex Excited Vocoder

机译:谐波复激励声码器在噪声中的语音感知

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摘要

A cochlear implant (CI) presents band-pass-filtered acoustic envelope information by modulating current pulse train levels. Similarly, a vocoder presents envelope information by modulating an acoustic carrier. By studying how normal hearing (NH) listeners are able to understand degraded speech signals with a vocoder, the parameters that best simulate electric hearing and factors that might contribute to the NH-CI performance difference may be better understood. A vocoder with harmonic complex carriers (fundamental frequency, f0 = 100 Hz) was used to study the effect of carrier phase dispersion on speech envelopes and intelligibility. The starting phases of the harmonic components were randomly dispersed to varying degrees prior to carrier filtering and modulation. NH listeners were tested on recognition of a closed set of vocoded words in background noise. Two sets of synthesis filters simulated different amounts of current spread in CIs. Results showed that the speech vocoded with carriers whose starting phases were maximally dispersed was the most intelligible. Superior speech understanding may have been a result of the flattening of the dispersed-phase carrier’s intrinsic temporal envelopes produced by the large number of interacting components in the high-frequency channels. Cross-correlogram analyses of auditory nerve model simulations confirmed that randomly dispersing the carrier’s component starting phases resulted in better neural envelope representation. However, neural metrics extracted from these analyses were not found to accurately predict speech recognition scores for all vocoded speech conditions. It is possible that central speech understanding mechanisms are insensitive to the envelope-fine structure dichotomy exploited by vocoders.
机译:人工耳蜗(CI)通过调制当前脉冲序列电平来呈现经过带通滤波的声学包络信息。类似地,声码器通过调制声载波来呈现包络信息。通过研究正常听众(NH)的听众如何使用声码器理解降级的语音信号,可以更好地理解最佳模拟电听的参数以及可能导致NH-CI性能差异的因素。具有谐波复载波(基本频率,f0 = 100 Hz)的声码器用于研究载波相位分散对语音包络和清晰度的影响。谐波分量的起始相位在载波滤波和调制之前随机分散到不同的程度。对NH听众进行了测试,以识别背景噪声中一组封闭的声码词。两组综合滤波器模拟了CI中不同的电流散布量。结果表明,语音的语音以起始阶段最大程度分散的载波为最清晰。出色的语音理解可能是由于高频通道中大量相互作用的成分使分散相载波的固有时间包络变平的结果。听神经模型仿真的互相关图分析证实,随机分散载体成分的起始相可产生更好的神经包膜表现。但是,未发现从这些分析中提取的神经指标可以准确预测所有声码语音条件的语音识别分数。中央语音理解机制可能对声码器利用的包络线精细结构二分法不敏感。

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