Microphone Handling Noise: Measurements of Perceptual Threshold and Effects on Audio Quality.

Microphone Handling Noise: Measurements of Perceptual Threshold and Effects on Audio Quality.
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DOI:
10.1371/journal.pone.0140256
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Li FF
Li FF
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Kendrick P;Jackson IR;Fazenda BM;Cox TJ;Li FF

文献摘要

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进行了心理声学实验,以测试麦克风操作噪声对感知音频质量的影响。处理噪音是一个问题,既影响到使用智能手机和相机的业余爱好者,也影响到使用独立麦克风和数字录音机的专业人士。测试中使用的噪音是从各种设备测量的,包括智能手机、笔记本电脑和手持麦克风。分析并给出了表征这些噪声的信号特征。这些声音包括由敲击或敲击设备产生的各种暂时性、冲击性声音,以及由摩擦引起的更持久的声音。在知觉测试中,听众试听了演讲播客,并被要求对他们听到的任何不想要的声音的降级进行评级。开发了一种具有代表性的设计测试方法,试图鼓励日常听力而不是分析性听力。处理噪声事件的信噪比(SNR)被证明是质量下降的最佳预测因子。其他因素,如听力环境中的噪音类型或背景噪音,对质量评级没有显著影响。播客、麦克风类型和复制设备被发现是重要的,但只是很小的程度。提出了一种可以根据信噪比预测退化的模型。50%的受试者注意到处理噪声的信噪比阈值为4.2±0.6dBA。这项工作的结果对于理解我们对录音中撞击声和共振噪声的感知非常重要,并将为未来处理噪声的质量自动预测器的发展提供信息。
A psychoacoustic experiment was carried out to test the effects of microphone handling noise on perceived audio quality. Handling noise is a problem affecting both amateurs using their smartphones and cameras, as well as professionals using separate microphones and digital recorders. The noises used for the tests were measured from a variety of devices, including smartphones, laptops and handheld microphones. The signal features that characterise these noises are analysed and presented. The sounds include various types of transient, impact noises created by tapping or knocking devices, as well as more sustained sounds caused by rubbing. During the perceptual tests, listeners auditioned speech podcasts and were asked to rate the degradation of any unwanted sounds they heard. A representative design test methodology was developed that tried to encourage everyday rather than analytical listening. Signal-to-noise ratio (SNR) of the handling noise events was shown to be the best predictor of quality degradation. Other factors such as noise type or background noise in the listening environment did not significantly affect quality ratings. Podcast, microphone type and reproduction equipment were found to be significant but only to a small extent. A model allowing the prediction of degradation from the SNR is presented. The SNR threshold at which 50% of subjects noticed handling noise was found to be 4.2 ± 0.6 dBA. The results from this work are important for the understanding of our perception of impact sound and resonant noises in recordings, and will inform the future development of an automated predictor of quality for handling noise.