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Appl. Sci. 2018, 8(8), 1383; https://doi.org/10.3390/app8081383

A Robust Cover Song Identification System with Two-Level Similarity Fusion and Post-Processing

School of Information Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
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Received: 23 July 2018 / Revised: 13 August 2018 / Accepted: 14 August 2018 / Published: 16 August 2018
(This article belongs to the Special Issue Digital Audio and Image Processing with Focus on Music Research)
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Abstract

Similarity measurement plays an important role in various information retrieval tasks. In this paper, a music information retrieval scheme based on two-level similarity fusion and post-processing is proposed. At the similarity fusion level, to take full advantage of the common and complementary properties among different descriptors and different similarity functions, first, the track-by-track similarity graphs generated from the same descriptor but different similarity functions are fused with the similarity network fusion (SNF) technique. Then, the obtained first-level fused similarities based on different descriptors are further fused with the mixture Markov model (MMM) technique. At the post-processing level, diffusion is first performed on the two-level fused similarity graph to utilize the underlying track manifold contained within it. Then, a mutual proximity (MP) algorithm is adopted to refine the diffused similarity scores, which helps to reduce the bad influence caused by the “hubness” phenomenon contained in the scores. The performance of the proposed scheme is tested in the cover song identification (CSI) task on three cover song datasets (Covers80, Covers40, and Second Hand Songs (SHS)). The experimental results demonstrate that the proposed scheme outperforms state-of-the-art CSI schemes based on single similarity or similarity fusion. View Full-Text
Keywords: cover song identification; similarity network fusion; mixture Markov model; mutual proximity cover song identification; similarity network fusion; mixture Markov model; mutual proximity
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Li, M.; Chen, N. A Robust Cover Song Identification System with Two-Level Similarity Fusion and Post-Processing. Appl. Sci. 2018, 8, 1383.

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