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

机译:基于子空间跨越的便携式终端的强大音频搜索方法

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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音频录制上检测查询音频信号片段的搜索方法。 假设查询信号由现实世界中的便携式终端捕获。 这种搜索中的一个主要问题是查询声音的特征可以包括由于终端特征或环境噪声而导致的扭曲。 这里所提出的方法包括独立的归一化和稳健的子空间。 前者用于吸收添加剂噪声和频率特性。 后者用于选择频带,最小化特征失真的效果。 使用现实世界中收到的音频信号的实验证明了所提出的方法的影响; 例如,当搜索13小时的音频录制时,搜索准确性为84.29%。

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