5th International Conference on Spoken Language Processing

Sydney, Australia
November 30 - December 4, 1998

Maximum a Posteriori Pitch Tracking

James Droppo, Alex Acero

Microsoft Research, USA

A Maximum a posteriori framework for computing pitch tracks as well as voicing decisions is presented. The proposed algorithm consists of creating a time-pitch energy distribution based on predictable energy that improves on the normalized cross-correlation. A large database is used to evaluate the algorithm's performance against two standard solutions, using glottal closure instants (GCI) obtained from electroglottogram (EGG) signals as a reference. The new MAP algorithm exhibits higher pitch accuracy and better voiced/unvoiced discrimination.

Full Paper

Bibliographic reference.  Droppo, James / Acero, Alex (1998): "Maximum a posteriori pitch tracking", In ICSLP-1998, paper 0071.