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人工耳蜗使用者在噪声环境下的语音感知的语音频谱线索。

Intonational cues for speech perception in noise by cochlear implant listeners.

机构信息

Department of Sense Organs, Sapienza University of Rome, Viale dell'Università 31, 00161, Rome, Italy.

出版信息

Eur Arch Otorhinolaryngol. 2020 Dec;277(12):3315-3321. doi: 10.1007/s00405-020-06055-y. Epub 2020 May 22.

Abstract

PURPOSE

The objectives of this study are to evaluate cochlear implant (CI) listeners' ability to infer low frequency (LF) pitch information from temporal fine structure (TFS) cues and to gain insight into its effects on speech perception, especially in the presence of a fluctuating background noise. Pitch perception assessment using linguistic stimuli is believed to better reflect the role of pitch in communicatively realistic situations.

METHODS

The low-pass-filtered sentence intonation (SI-LPF) test based on linguistic stimuli marked by intonation changes is used to estimate a difference limen for discrimination of LF pitch changes in adult CI listeners (N = 17 ears). Speech perception in the presence of noise is assessed using the sentence test with adaptive randomized roving level (STARR), where everyday sentences are presented at low, medium, and high levels in a fluctuating background noise. SI-LPF correlations with STARR are compared to those with sentence recognition tests presented in quiet (SRQ) and in noise, using fixed signal-to-noise ratio (SNRs at +10 and +5 dB).

RESULTS

SI-LPF findings show significant positive correlations with STARR performance (r = 0.63, p = 0.007), whilst the associations with SRQ (r = - 0.37, p = 0.149), SNR + 10 (r = - 0.24, p = 0.345), and SNR + 5 (r = - 0.14, p = 0.587) are not statistically significant.

CONCLUSIONS

Present findings reflecting considerably stronger correlations than previous studies using non-linguistic stimuli, in particular for speech perception with roving-level adaptive test method (STARR) highlight the effects of LF pitch perception and TFS sensitivity on challenging everyday situations, where CI users listen to speakers with varying levels in a fluctuating background.

摘要

目的

本研究旨在评估人工耳蜗(CI)使用者通过时频结构(TFS)线索推断低频(LF)音高信息的能力,并深入了解其对语音感知的影响,特别是在存在波动背景噪声的情况下。使用语言刺激进行音高感知评估被认为可以更好地反映音高在交际现实情况下的作用。

方法

使用基于带有语调变化标记的语言刺激的低通滤波句子语调(SI-LPF)测试来估计成人 CI 使用者(N=17 耳)区分 LF 音高变化的差异阈限。使用具有自适应随机漫游水平(STARR)的句子测试评估噪声下的语音感知,其中日常句子在波动背景噪声中以低、中、高三个水平呈现。将 SI-LPF 与 STARR 的相关性与在安静(SRQ)和噪声中呈现的句子识别测试(SRQ)进行比较,使用固定信噪比(SNR 在+10 和+5 dB)。

结果

SI-LPF 结果与 STARR 表现呈显著正相关(r=0.63,p=0.007),而与 SRQ 的相关性(r=-0.37,p=0.149)、SNR+10(r=-0.24,p=0.345)和 SNR+5(r=-0.14,p=0.587)的相关性不具有统计学意义。

结论

本研究结果反映出与使用非语言刺激的先前研究相比,具有更强的相关性,特别是对于具有漫游水平自适应测试方法(STARR)的语音感知,这突出了 LF 音高感知和 TFS 敏感性对具有挑战性的日常情况的影响,在这些情况下,CI 用户在波动的背景下聆听具有不同水平的说话者。

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