SAPA-SCALE Conference 2012

Portland, OR, USA
September 7-8, 2012

Pitch Estimation Using Mutual Information

Majid Mirbagheri (1), Yanbo Xu (1), Shihab Shamma (1,2)

(1) Institute for System Research, University of Maryland College Park, MD, USA
(2) Department of Electrical and Computer Engineering, University of Maryland College Park, MD, USA

A spectrotemporal method based on Mutual Information (MI) is proposed for pitch estimation of voiced speech signals. We use MI as the similarity measure between voiced speech segments and their delayed version. In- stead of measuring linear dependencies, MI measures sta- tistical dependency, which suits the dynamic character- istic of speech signals. Besides, higher-order statistics are directly encoded in the MI while they are not usually taken into account in traditional correlation-based mea- sures. Through experiments on both synthetic signals and a real speech dataset, this new measure is proven to be ef- fective for pitch estimation.

Index Terms: pitch estimation, mutual information, higher-order statistics, periodicity, spectrotemporal

Full Paper

Bibliographic reference.  Mirbagheri, Majid / Xu, Yanbo / Shamma, Shihab (2012): "Pitch estimation using mutual information", In SAPA-SCALE-2012, 1-4.