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arXiv · 0710.4180

A quick search method for audio signals based on a piecewise linear representation of feature trajectories

Akisato Kimura·Kunio Kashino·Takayuki Kurozumi·Hiroshi Murase
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Abstract

This paper presents a new method for a quick similarity-based search through long unlabeled audio streams to detect and locate audio clips provided by users. The method involves feature-dimension reduction based on a piecewise linear representation of a sequential feature trajectory extracted from a long audio stream. Two techniques enable us to obtain a piecewise linear representation: the dynamic segmentation of feature trajectories and the segment-based Karhunen-Lóeve (KL) transform. The proposed search method guarantees the same search results as the search method without the proposed feature-dimension reduction method in principle. Experiment results indicate significant improvements in search speed. For example the proposed method reduced the total search time to approximately 1/12 that of previous methods and detected queries in approximately 0.3 seconds from a 200-hour audio database.

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Akisato Kimura, Kunio Kashino, Takayuki Kurozumi, Hiroshi Murase. 2007-10-23. A quick search method for audio signals based on a piecewise linear representation of feature trajectories. https://doi.org/10.1109/tasl.2007.912362

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