Audio event detection from acoustic unit occurrence patterns

Anurag Kumar, Pranay Dighe, Rita Singh, Sourish Chaudhuri, B. Raj
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引用次数: 58

Abstract

In most real-world audio recordings, we encounter several types of audio events. In this paper, we develop a technique for detecting signature audio events, that is based on identifying patterns of occurrences of automatically learned atomic units of sound, which we call Acoustic Unit Descriptors or AUDs. Experiments show that the methodology works as well for detection of individual events and their boundaries in complex recordings.
从声学单元发生模式中检测音频事件
在大多数真实世界的录音中,我们会遇到几种类型的音频事件。在本文中,我们开发了一种检测签名音频事件的技术,该技术基于识别自动学习的声音原子单元的出现模式,我们称之为声学单元描述符或aud。实验表明,该方法同样适用于复杂记录中单个事件及其边界的检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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