Title :
Improved Algorithms of Music Information Retrieval Based on Audio Fingerprint
Author :
Jie, Tang ; Gang, Liu ; Jun, Guo
Author_Institution :
Pattern Recognition & Intell. Syst. Lab., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
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.
Keywords :
audio signal processing; computer graphics; information retrieval; music; recursive estimation; Shazam company; audio fingerprinting extraction; computer graphics; music information retrieval; recursive search algorithm; retrieval accuracy improvement; retrieval speed improvement; Audio recording; Cellular phones; Computer graphics; Fingerprint recognition; Hidden Markov models; Libraries; Music information retrieval; Noise robustness; Signal processing; Working environment noise; audio fingerprinting; computer vision; recursive retrieval;
Conference_Titel :
Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-6420-3
Electronic_ISBN :
978-1-4244-6421-0
DOI :
10.1109/IITAW.2009.110