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A robust audio searching method for portable terminals based on subspace spanning

机译:基于子空间扩展的便携式终端鲁棒音频搜索方法

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摘要

We propose a search method for detecting a query audio signal fragment on long audio recordings. The query signal is assumed to be captured by a portable terminal in the real world. A major problem in this kind of searching is that the features of query sound may include distortions due to terminal characteristics or environment noises. The method proposed here comprises independent normalization and robust subspace spanning. The former is used to absorb additive noise and frequency characteristics. The latter is used to choose frequency bands that minimizes the effect of feature distortions. The experiments using audio signals received in the real world prove the effects of the proposed method; for example, the search accuracy was 84.29% when a 13 hour audio recording was searched through.
机译:我们提出了一种用于在长录音中检测查询音频信号片段的搜索方法。假设查询信号被现实世界中的便携式终端捕获。这种搜索的主要问题是查询声音的特征可能包括由于终端特性或环境噪声引起的失真。这里提出的方法包括独立的归一化和鲁棒的子空间扩展。前者用于吸收加性噪声和频率特性。后者用于选择使特征失真影响最小的频带。利用现实世界中接收到的音频信号进行的实验证明了该方法的有效性。例如,当搜索13小时的录音时,搜索准确性为84.29%。

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