Ambient noise source characterization using spectral, coherence, and directionality estimates at Kongsfjorden.

IF 1.2 Q3 ACOUSTICS JASA express letters Pub Date : 2024-11-01 DOI:10.1121/10.0034307
Sanjana M C, Latha G, Thirunavukkarasu A
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引用次数: 0

Abstract

Ambient noise measurements from an Arctic fjord during summer and winter are analyzed using spectral, coherence, and directionality estimates from a vertically separated pair of hydrophones. The primary noise sources attributed to wind, shipping, and ice activity are categorized and coherence is arrived at. Estimates of the noise field directionality in the vertical and its variation over time and between seasons are used to strengthen the analysis of the time-varying nature of noise sources. Source identification using such processing techniques serves as a valuable tool in passive acoustic monitoring systems for studying ice dynamics in glacierized fjords.

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在康斯峡湾利用频谱、相干性和方向性估计进行环境噪声源鉴定。
利用一对垂直分离的水听器的频谱、相干性和方向性估计值,对北极峡湾夏季和冬季的环境噪声测量结果进行分析。对归因于风、航运和冰上活动的主要噪声源进行了分类,并得出了相干性。垂直方向的噪声场方向性及其随时间和季节变化的估计值,用于加强对噪声源时变性质的分析。利用这种处理技术进行声源识别,是被动声学监测系统研究冰川峡湾冰层动态的宝贵工具。
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The JIBO Kids Corpus: A speech dataset of child-robot interactions in a classroom environment. The perceptual distinctiveness of the [n-l] contrast in different vowel and tonal contexts. Ambient noise source characterization using spectral, coherence, and directionality estimates at Kongsfjorden. Speaker adaptation using codebook integrated deep neural networks for speech enhancement. Fundamental frequency predominantly drives talker differences in auditory brainstem responses to continuous speech.
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