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首页> 外文期刊>The Journal of the Acoustical Society of America >The time course of sound category identification: Insights from acoustic features
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The time course of sound category identification: Insights from acoustic features

机译:声音类别的时间识别:声学特征的见解

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摘要

Humans have an impressive, automatic capacity for identifying and organizing sounds in their environment. However, little is known about the timescales that sound identification functions on, or the acoustic features that listeners use to identify auditory objects. To better understand the temporal and acoustic dynamics of sound category identification, two go/no-go perceptual gating studies were conducted. Participants heard speech, musical instrument, and human-environmental sounds ranging from 12.5 to 200 ms in duration. Listeners could reliably identify sound categories with just 25 ms of duration. In experiment 1, participants' performance on instrument sounds showed a distinct processing advantage at shorter durations. Experiment 2 revealed that this advantage was largely dependent on regularities in instrument onset characteristics relative to the spectrotemporal complexity of environmental sounds and speech. Models of participant responses indicated that listeners used spectral, temporal, noise, and pitch cues in the task. Aspects of spectral centroid were associated with responses for all categories, while noisiness and spectral flatness were associated with environmental and instrument responses, respectively. Responses for speech and environmental sounds were also associated with spectral features that varied over time. Experiment 2 indicated that variability in fundamental frequency was useful in identifying steady state speech and instrument stimuli. (C) 2017 Acoustical Society of America.
机译:人类具有令人印象深刻的,自动能力,用于识别和组织环境中的声音。然而,对于声音识别函数的时间尺度或听众用于识别听觉对象的声学特征很少。为了更好地了解声音类别识别的时间和声学动态,进行了两种GO / NO-GO感知门控研究。参与者听说讲话,乐器和人类环境的声音在持续时间内为12.5至200毫秒。侦听器可以可靠地识别只需25毫秒的持续时间的声音类别。在实验1中,参与者在仪器声音上的性能显示出较短的持续时间下的不同处理优势。实验2显示,这种优势在很大程度上取决于仪器发作特征中的规律性,相对于环境声音和语音的光谱血型复杂性。参与者反应的模型表明,听众在任务中使用了光谱,时间,噪声和音高线索。光谱分子的各个方面与所有类别的反应相关,而噪声和光谱平整度分别与环境和仪器反应相关。对语音和环境声音的响应也与随时间变化的光谱功能相关。实验2表明基本频率的可变性可用于识别稳态语音和仪器刺激。 (c)2017年声学社会。

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