Title :
A trend estimation algorithm for singing pitch detection in musical recordings
Author :
Hsu, Chao-Ling ; Wang, DeLiang ; Jang, Jyh-Shing Roger
Author_Institution :
Comput. Sci. Dept., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
Detecting pitch values for singing voice in the presence of music accompaniment is challenging but useful for many applications. We propose a trend estimation algorithm to detect the pitch ranges of a singing voice in each time frame. The detected trend substantially reduces the difficulty of singing pitch detection by reducing a large number of wrong pitch candidates either produced by musical instruments or the overtones of the singing voice. The proposed algorithm can be applied to improve the performance of singing pitch detection. Quantitative evaluations show that proposed trend estimation improves an existing algorithm significantly. The results from the MIREX 2010 competition show that our system achieves the best overall raw-pitch accuracy for vocal songs.
Keywords :
audio recording; audio signal processing; musical instruments; signal detection; speech processing; MIREX 2010 competition; music accompaniment; musical instrument; musical recordings; singing voice overtones; singing voice pitch detection; trend estimation algorithm; Estimation; Feature extraction; Harmonic analysis; Heuristic algorithms; Instruments; Signal to noise ratio; Time frequency analysis; Singing pitch detection; music; pitch range estimation;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946423