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Towards a method for loudness-based analysis of the sound of one's own voice

机译:寻求一种基于响度分析自己声音的方法

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This paper outlines the steps in objectively estimating the time-varying loudness of one's own voice in a room (i.e. autophonic loudness). Voice recordings, made with a near-mouth microphone, are converted to the sound that reaches the two eardrums of the talking (orsinging)-listener by convolving them with the impulse responses from the mouth to the respective ears of an anthropomorphic head and torso. The influences of bone-conducted sound and room reflections are taken into account. These convolved recordings are then processed with a computational time-varying loudness model. The method is demonstrated by a short case study, and the results illustrate something of the benefit of loudness analysis over sound pressure level analysis for representing autophonic loudness.
机译:本文概述了客观估计房间中自己声音随时间变化的响度(即自发响度)的步骤。用近口麦克风制作的录音通过将它们与从嘴到拟人化的头部和躯干的各个耳朵的冲动响应进行卷积,转换为到达会说话(听)的两个耳膜的声音。考虑了骨传导声音和房间反射的影响。然后使用计算时变响度模型处理这些卷积的录音。通过一个简短的案例研究证明了该方法,并且结果说明了响度分析相对于声压级分析在代表自发响度方面的优势。

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