噪声波动影响听音辨音，能预测发音判断结果。
A microscopic investigation of the effect of random envelope fluctuations on phoneme-in-noise perception
- 用逆相关法分析每条试听数据中的噪声波动模式。
- 噪声波动可解释8.1%~13.3%的听辨表现差异。
- 揭示了噪声本身造成的信息遮蔽机制，适合听觉感知研究者。
本研究考察特定噪声实现对 /b/ 和 /d/ 两个辅音辨别能力的影响。十二名参与者聆听嵌入三种背景噪声中的 /aba/ 或 /ada/ 单词。所有噪声具有相同的长期频谱，但随机包络波动程度不同。采用逆相关法对每次试听进行分析。结果显示，仅基于噪声的时频包络波动分布，即可在不考虑目标信号或信噪比的情况下，以高于偶然水平的准确率预测分类反应。噪声波动平均解释了白噪声条件下8.1%的被试反应差异，波动更大的噪声中该比例上升至13.3%。时频权重估计表明，该效应源于噪声波动与目标语音声学线索之间的混淆。人工听觉模型模拟也得出相似结论。我们认为这种与声音片段相关的噪声效应属于信息遮蔽的一种形式。
原文摘要 · Abstract (English)
In this study, we investigated the effect of specific noise realizations on the discrimination of two consonants, /b/ and /d/. For this purpose, we collected data from twelve participants, who listened to the words /aba/ or /ada/ embedded in one of three background noises. All noises had the same long-term spectrum but differed in the amount of random envelope fluctuations. The data were analyzed on a trial-by-trial basis using the reverse-correlation method. The results revealed that it is possible to predict the categorical responses with better-than-chance accuracy purely based on the spectro-temporal distribution of the random envelope fluctuations of the corresponding noises, without taking into account the actual targets or the signal-to-noise ratios used in the trials. The effect of the noise fluctuations explained on average 8.1% of the participants' responses in white noise, a proportion that increased up to 13.3% for noises with a larger amount of fluctuations. The estimated time-frequency weights revealed that the measured effect originated from confusions between noise fluctuations and relevant acoustic cues from the target words. Substantially similar conclusions were obtained from simulations using an artificial listener. We argue that this token-specific effect of noise is a form of informational masking.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。