Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2006.262664
Title: Predominant vocal pitch detection in polyphonic music
Authors: Xi, S.
Changsheng, X.
Kankanhalli, M.S. 
Issue Date: 2006
Source: Xi, S., Changsheng, X., Kankanhalli, M.S. (2006). Predominant vocal pitch detection in polyphonic music. 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings 2006 : 897-900. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2006.262664
Abstract: We present a novel method for predominant vocal pitch detection in two-channel polyphonic music. The proposed method contains two stages. In the first stage, we apply the Frequency Domain Independent Component Analysis (FD-ICA) for the two-channel polyphonic music to separate the vocal content from the background music. Considering the vocal singing voice and background music are two heterogeneous signals, we employ a statistical learning based method to solve the permutation inconsistency problem in FD-ICA, In the second stage, a noise insensitive vocal pitch detection method is proposed, which is robust to noise and errors introduced by the separation process in the first stage, The proposed method has been tested on the two-channel polyphonic music signals, and experimental results show promising performance. © 2006 IEEE.
Source Title: 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/41389
ISBN: 1424403677
DOI: 10.1109/ICME.2006.262664
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