This paper presents a novel pitch tracking method in the time domain. Based on the difference function as used in YIN - referred to as the sum magnitude difference square function (SMDSF) thereinafter - we propose two modified types of SMDSFs, with several methods presented to calculate these SMDSFs efficiently and without bias by using the FFT algorithm. In pitch estimation, every type of SMDSF has its own estimation error characteristics. By analyzing these characteristics, we define a new function which combines the foresaid two types of SMDSFs to prevent estimation errors. A new, relatively accurate, and real-time pitch tracking algorithm is then proposed which does not need any extra preprocessing and post-processing. Experimental results show that this proposed algorithm can achieve remarkably good performance for pitch tracking.
Cite as: Liu, J., Zheng, T.F., Deng, J., Wu, W. (2005) Real-time pitch tracking based on combined SMDSF. Proc. Interspeech 2005, 301-304, doi: 10.21437/Interspeech.2005-169
@inproceedings{liu05c_interspeech,
author={Jian Liu and Thomas Fang Zheng and Jing Deng and Wenhu Wu},
title={{Real-time pitch tracking based on combined SMDSF}},
year=2005,
booktitle={Proc. Interspeech 2005},
pages={301--304},
doi={10.21437/Interspeech.2005-169}
}