Trends in audio scene source counting and analysis

Michael Nigro, Sridhar Krishnan
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Abstract

Audio scene analysis involves a variety of tasks to obtain information from an audio environment. Audio source counting is one such task that has implications to many other aspects of audio analysis, yet it is relatively unexplored. This work presents the first review of the audio source counting literature and aims to convey the significance of this task to the wider domain of audio analysis. We identify and discuss connections between audio source counting and other more commonly studied audio analysis tasks. In addition, a review of the publicly available audio datasets is presented, highlighting the lack of datasets geared towards audio source counting. Our goal of this review paper is to promote future research of audio source counting.
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音频场景源计数和分析的趋势
音频场景分析涉及从音频环境中获取信息的各种任务。声源计数就是这样一项任务,它对音频分析的许多其他方面都有影响,但相对而言,这项任务还未被探索。本研究首次对声源计数文献进行了综述,旨在向更广泛的音频分析领域传达这项任务的重要性。我们确定并讨论了音源计数与其他更常研究的音频分析任务之间的联系。此外,我们还对公开可用的音频数据集进行了回顾,强调了音频源计数数据集的缺乏。我们撰写这篇综述论文的目的是促进未来的音源计数研究。
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来源期刊
Machine learning with applications
Machine learning with applications Management Science and Operations Research, Artificial Intelligence, Computer Science Applications
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98 days
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