Abstract
This paper proposes a fast audio information retrieval algorithm based on part-whole recursion, which could reduce retrieval time greatly when query audio is very long. In order to speed up search speed, this paper firstly extracts audio fingerprint features, which changed float type features into binary bits for calculation quickly; Secondly, utilizes time sequence information and negativity judgment sufficiently in matching procedure, which could reduce search range largely. Experimental results show that the proposed audio fingerprint algorithm is more robust than the famous Philips’ algorithm, which the bit error rate is nearly decreased 35%; the part-whole recursion scheme is much faster than whole matching and segment-based retrieval scheme, and also has a high precision rate and recall rate when the query audio is very long.
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Dou, H., Qian, Y., Feng, Y., Li, G. (2012). A Fast Audio Information Retrieval Method Based on Part-Whole Recursion. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_49
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DOI: https://doi.org/10.1007/978-3-642-25792-6_49
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