An Effective Signal Processing Method to Musical Information Retrieval

Author

Peng, Li ; Mingquan, Zhou ; Xuesong, Wang ; Nansha, Li

Author_Institution

Sch. of Educ. Technol., Beijing Normal Univ., Beijing, China

Volume

2

fYear

2009

fDate

6-7 June 2009

Firstpage

280

Lastpage

283

Abstract

In this paper, an effective acoustic signal processing method has been presented in research of Musical Information Retrieval (MIR). Firstly, the raw acoustic signal was pretreated by a adaptive wavelet soft-threshold of gain factor and teager energy operator (AWSTD_GF&TEO), then it needs to extract the fundamental frequency form it. Secondly, proposed a new effective "cabinet" method to filter the waveform, after that, the waveform is available compared with the one unfiltered, at last, implemented the retrieval operations with an improved melody representation method and string fuzzy matching method. The evaluation result shows that the AWSTD_GF&TEO and the new "cabinet" method could help to retrieval the object more accurate.

Keywords

acoustic signal detection; filtering theory; information retrieval; music; wavelet transforms; acoustic signal processing method; adaptive wavelet soft-threshold; cabinet method; fuzzy matching method; musical information retrieval; teager energy operator; waveform filter; Content based retrieval; Data mining; Educational institutions; Educational technology; Frequency; Matched filters; Music information retrieval; Noise reduction; Signal processing; Signal processing algorithms; Cabinet Filter; Denoising; Dynamic Programming Algorithm; Fundamental Frequency; MIR;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3645-3

Type

conf

DOI

10.1109/CINC.2009.22

Filename

5230978