基于叫声类型和种类分类识别猫科动物发声的声学特征

IF 1.7 4区 物理与天体物理
Danushka Bandara, Karen Exantus, Cristian Navarro-Martinez, Murray Patterson, Ashley Byun
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引用次数: 0

摘要

猫科动物是当今最成功的食肉动物谱系之一。然而,由于缺乏化石,猫科动物之间的声音交流研究仍然是一个挑战,录音的可用性有限,因为它们大多是孤独和隐蔽的行为,以及解决这些问题所需的计算模型和方法的不发达。本研究试图开发一种基于机器学习的方法,该方法可以通过优化这些呼叫类型和物种的分类任务来识别区分野外呼叫类型和物种的声学特征。通过提取不同来源的音频片段,建立了现场呼叫数据集。由于样本有限,本研究主要集中在豹亚科。语音片段被手工标注为呼叫类型和种类。然后从数据集中提取时频特征。最后,应用多类分类算法对结果数据进行物种和叫声类型的分类。我们发现持续时间,平均mel谱图,频率范围和幅度范围是分类中最显著的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identifying Distinguishing Acoustic Features in Felid Vocalizations Based on Call Type and Species Classification

Identifying Distinguishing Acoustic Features in Felid Vocalizations Based on Call Type and Species Classification

The cat family Felidae is one of the most successful carnivore lineages today. However, the study of acoustic communication between felids remains a challenge due to the lack of fossils, the limited availability of audio recordings because of their largely solitary and secretive behaviour, and the underdevelopment of computational models and methods needed to address these questions. This study attempts to develop a machine learning-based approach which can be used to identify acoustic features that distinguish felid call types and species from one another through the optimization of classification tasks on these call types and species. A felid call dataset was developed by extracting audio clips from diverse sources. Due to the limited availability of samples, this study focused on the Pantherinae subfamily. The audio clips were manually annotated for call type and species. Time–frequency features were then extracted from the dataset. Finally, several multi-class classification algorithms were applied to the resulting data for classifying species and call types. We found that duration, mean mel spectrogram, frequency range, and amplitude range were among the most distinguishing features for the classifications.

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来源期刊
Acoustics Australia
Acoustics Australia ACOUSTICS-
自引率
5.90%
发文量
24
期刊介绍: Acoustics Australia, the journal of the Australian Acoustical Society, has been publishing high quality research and technical papers in all areas of acoustics since commencement in 1972. The target audience for the journal includes both researchers and practitioners. It aims to publish papers and technical notes that are relevant to current acoustics and of interest to members of the Society. These include but are not limited to: Architectural and Building Acoustics, Environmental Noise, Underwater Acoustics, Engineering Noise and Vibration Control, Occupational Noise Management, Hearing, Musical Acoustics.
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