Publication | Closed Access
Improved Algorithms of Music Information Retrieval Based on Audio Fingerprint
16
Citations
6
References
2009
Year
MusicAudio MiningEngineeringInformation RetrievalRetrieval SpeedMusic ClassificationPattern RecognitionShazam CompanyComputational MusicologyAudio RetrievalComputer ScienceArtsOptical Music RecognitionMultimedia SearchSpeech Recognition
There are two important research topics in the field of Music Information Retrieval (MIR). One is how to improve the robustness of features and the other is how to speed up the retrieval process. This paper improved the algorithms which proposed by Shazam company in these two aspects. We improve the robustness of the system by a new audio finger-printing extraction using computer graphics, and the system can recognize the recordings which get in complex environment accurately. On the other hand, we propose a recursive search algorithm based on the confidence measure to improve the retrieval speed. Quantitative analysis of the opposite experiment verifies the improvement in the retrieval speed and accuracy.
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