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一种动态双耳谐波抵消模型,用于预测针对具有音高、时域包络和位置变化的谐波掩蔽的言语可懂度。

A dynamic binaural harmonic-cancellation model to predict speech intelligibility against a harmonic masker varying in intonation, temporal envelope, and location.

机构信息

ENTPE, Ecole Centrale de Lyon, CNRS, LTDS, UMR5513, University Lyon, Vaulx-en-Velin 69518, France.

ENTPE, Ecole Centrale de Lyon, CNRS, LTDS, UMR5513, University Lyon, Vaulx-en-Velin 69518, France.

出版信息

Hear Res. 2022 Dec;426:108535. doi: 10.1016/j.heares.2022.108535. Epub 2022 May 24.

DOI:10.1016/j.heares.2022.108535
PMID:35654633
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9684346/
Abstract

The aim of this study was to extend the harmonic-cancellation model proposed by Prud'homme et al. [J. Acoust. Soc. Am. 148 (2020) 3246--3254] to predict speech intelligibility against a harmonic masker, so that it takes into account binaural hearing, amplitude modulations in the masker and variations in masker fundamental frequency (F0) over time. This was done by segmenting the masker signal into time frames and combining the previous long-term harmonic-cancellation model with the binaural model proposed by Vicente and Lavandier [Hear. Res. 390 (2020) 107937]. The new model was tested on the data from two experiments involving harmonic complex maskers that varied in spatial location, temporal envelope and F0 contour. The interactions between the associated effects were accounted for in the model by varying the time frame duration and excluding the binaural unmasking computation when harmonic cancellation is active. Across both experiments, the correlation between data and model predictions was over 0.96, and the mean and largest absolute prediction errors were lower than 0.6 and 1.5 dB, respectively.

摘要

本研究旨在扩展 Prud'homme 等人提出的谐波抵消模型[J. Acoust. Soc. Am. 148 (2020) 3246--3254],以预测针对谐波掩蔽的言语可懂度,使其能够考虑到双耳听觉、掩蔽中的幅度调制以及掩蔽基频 (F0) 随时间的变化。这是通过将掩蔽信号分段到时间帧中,并将之前的长期谐波抵消模型与 Vicente 和 Lavandier 提出的双耳模型[Hear. Res. 390 (2020) 107937]相结合来实现的。新模型在涉及空间位置、时间包络和 F0 轮廓变化的谐波复合掩蔽实验数据上进行了测试。通过改变时间帧持续时间和在谐波抵消活跃时排除双耳掩蔽计算,模型考虑了相关效应之间的相互作用。在两个实验中,数据和模型预测之间的相关性均超过 0.96,平均和最大绝对预测误差分别低于 0.6 和 1.5dB。

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引用本文的文献

1
Investigating the role of harmonic cancellation in speech-on-speech masking.研究谐波抵消在语音掩蔽中的作用。
Hear Res. 2022 Dec;426:108562. doi: 10.1016/j.heares.2022.108562. Epub 2022 Jun 17.