狮城音景:针对感知多样的新加坡声景数据集,围绕中位数进行修正分区a).

IF 1.2 Q3 ACOUSTICS
Kenneth Ooi, Jessie Goh, Hao-Weng Lin, Zhen-Ting Ong, Trevor Wong, Karn N. Watcharasupat, Bhan Lam, Woon-Seng Gan
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引用次数: 0

摘要

本研究提供了一个新加坡 62 个不同地点的视听声景录音数据集,最初的录音长度为 9-38 分钟。为了保持一致性,并在今后的主观研究中减少听者的疲劳感,我们从全长录音中摘录了一分钟的片段。我们采用了一种自动方法,利用预先训练好的愉悦度和事件度模型(根据 ISO 12913 标准),通过修改后的中位数分区算法来生成节选集,从而兼顾了感知空间和均匀分布的需要。对该方法的验证研究证实,该方法符合预期设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lion city soundscapes: Modified partitioning around medoids for a perceptually diverse dataset of Singaporean soundscapesa).
This study presents a dataset of audio-visual soundscape recordings at 62 different locations in Singapore, initially made as full-length recordings over spans of 9-38 min. For consistency and reduction in listener fatigue in future subjective studies, one-minute excerpts were cropped from the full-length recordings. An automated method using pre-trained models for Pleasantness and Eventfulness (according to ISO 12913) in a modified partitioning around medoids algorithm was employed to generate the set of excerpts by balancing the need to encompass the perceptual space with uniformity in distribution. A validation study on the method confirmed its adherence to the intended design.
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CiteScore
1.70
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