Title :
A System for Melody Extraction from Various Humming Inputs
Author :
Gao, Liang ; Wu, Yadong
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ.
Abstract :
For a QBH (query-by-humming) system, it is important to extract melody from various humming inputs (whistle, nasal, singing, and humming). We use a new method to classify the humming inputs into two types (whistle and non-whistle), and two different ways to extract fundamental frequency (FO). Two phase of cepstrum with zero-process is introduced to get proper fundamental frequency from the non-whistle type. With tracking the energy difference curve and pitch curve, assisted by cepstrum peak value curve, note segmentations are made. Rough experiments show that this approach is effective and efficient
Keywords :
audio signal processing; music; cepstrum peak value curve; energy difference curve; fundamental frequency; melody extraction; nasal; nonwhistle type; note segmentations; pitch curve; query-by-humming; singing; various humming inputs; Autocorrelation; Cepstrum; Computer science; Data mining; Fourier transforms; Frequency; Information technology; Music information retrieval; Partial response channels; Signal processing; melody extraction; note segmentation; query-by-humming;
Conference_Titel :
Signal Processing and Information Technology, 2006 IEEE International Symposium on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9753-3
Electronic_ISBN :
0-7803-9754-1
DOI :
10.1109/ISSPIT.2006.270886