A Real-time Algorithm for Music Recognition Based on Wavelet Transform

Author

Cao, Zheng ; Guan, Shengxiao ; Wang, Zengfu

Author_Institution

Dept. of Autom., Univ. of Sci. & Technol. of China

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9926

Lastpage

9929

Abstract

This paper presents a new real-time algorithm for music recognition. According to music characteristics, we analyzed spectrum at the music pitches frequencies by using wavelet transform and DTFT, which increases not only the computing efficiency but also the resistance to noise. We advance a recognition strategy of note voting and music segmentation. New recognition rules for chords recognition are also presented. Experimental results show that our algorithm is fast and effective

Keywords

Fourier transforms; audio signal processing; music; pattern recognition; spectral analysis; time-frequency analysis; wavelet transforms; chord recognition; discrete time Fourier transform; music pitch; music recognition; music segmentation; note voting; real-time algorithm; spectrum analysis; time-frequency analysis; wavelet transform; Automation; Frequency domain analysis; Man machine systems; Multiple signal classification; Paper technology; Time frequency analysis; Voting; Wavelet analysis; Wavelet domain; Wavelet transforms; Music Recognition; Time-Frequency Analysis; Wavelet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713937

Filename

1713937