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A Method for Characterizing and Identifying Audio Based on Auditory Scene Analysis

机译:一种基于听觉场景分析的音频表征和识别音频的方法

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摘要

A method for characterizing and identifying audio material using reduced-information audio characterizations based on auditory scene analysis is presented. In the method described, a single or multi-channel audio signal is analyzed and the location and duration of the individual audio auditory events are identified. The auditory events are used to create a reduced information audio signature that can be used to determine whether one audio signal is derived from another audio signal. The audio signal comparison removes or minimizes the effect of temporal shift or delay on the audio signals, calculates a measure of similarity, and compares the measure of similarity against a threshold providing a fast, highly accurate and automatic method of signal identification.
机译:介绍了使用基于听觉场景分析的减少信息音频表征的表征和识别音频材料的方法。在所描述的方法中,分析单个或多信道音频信号,并且识别各个音频听觉事件的位置和持续时间。听觉事件用于创建减少的信息音频签名,该信息可用于确定一个音频信号是否来自另一个音频信号。音频信号比较去除或最小化时间移位或延迟对音频信号的影响,计算相似度的度量,并比较了对阈值的相似性的量度,提供快速,高度准确和自动的信号识别方法。

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