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  • Fraunhofer IDMT, Project Group Hearing, Speech and Audio Technology, Cluster of Excellence "Hearing4all", Oldenburg, Germany.
  • Medizinische Physik, Cluster of Excellence Hearing4all, Carl von Ossietzky Universität, Oldenburg, Germany.
  • 摘要

    客观的

    本研究调查了个人偏好在良好的信噪比和无失真语音目标之间的权衡是否在不同的掩蔽条件下稳定,以及是否可以使用简单的调整方法将受试者识别为“噪音”仇恨者”或“扭曲仇恨者”。

    设计

    在每个掩蔽条件下,受试者可以根据他们的偏好调整目标语音水平,方法是采用 (i) 线性增益或以 (ii) 削波失真或 (iii) 压缩失真为代价的增益。这些处理条件的比较允许调查失真和噪声干扰之间的优选权衡。

    研究样本

    三十名受试者在听力状态(正常听力到中度受损)和年龄(23-85 岁)方面差异很大。

    结果

    所有修改方案都发现了个人偏好的高重测稳定性。偏好调整表明,受试者可以按照从“讨厌噪音”到“讨厌失真”的等级进行一致分类,并且这种偏好特征在所有掩蔽器、空间条件和失真类型中保持稳定。

    结论

    在复杂的聆听条件下采用快速自我调整来收集聆听偏好,揭示了“噪声 失真”容忍维度上的稳定偏好特征。这可能有助于使现代助听器算法适合个人用户。

    Abstract

    Objective

    This study investigated if individual preferences with respect to the trade-off between a good signal-to-noise ratio and a distortion-free speech target were stable across different masking conditions and if simple adjustment methods could be used to identify subjects as either “noise haters” or “distortions haters”.

    Design

    In each masking condition, subjects could adjust the target speech level according to their preferences by employing (i) linear gain or gain at the cost of (ii) clipping distortions or (iii) compression distortions. The comparison of these processing conditions allowed investigating the preferred trade-off between distortions and noise disturbance.

    Study sample

    Thirty subjects differing widely in hearing status (normal-hearing to moderately impaired) and age (23–85 years).

    Results

    High test–retest stability of individual preferences was found for all modification schemes. The preference adjustments suggested that subjects could be consistently categorised along a scale from “noise haters” to “distortion haters”, and this preference trait remained stable through all maskers, spatial conditions, and types of distortions.

    Conclusions

    Employing quick self-adjustment to collect listening preferences in complex listening conditions revealed a stable preference trait along the “noise vs. distortions” tolerance dimension. This could potentially help in fitting modern hearing aid algorithms to the individual user.