4th International Conference on Spoken Language Processing

Philadelphia, PA, USA
October 3-6, 1996

A Probabilistic Approach to AMDF Pitch Detection

Goangshiuan S. Ying, Leah H. Jamieson, Carl D. Michell

School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

We present a probabilistic error correction technique to be used with an average magnitude difference function (AMDF) based pitch detector. This error correction routine provides a very simple method to correct errors in pitch period estimation. Used in conjunction with the computationally efficient AMDF, the result is a fast and accurate pitch detector. In performance tests on the CSTR (Center for Speech Technology Research) database, probabilistic error correction reduced the gross error rate from 6.07% to 3.29%.

Full Paper

Bibliographic reference.  Ying, Goangshiuan S. / Jamieson, Leah H. / Michell, Carl D. (1996): "A probabilistic approach to AMDF pitch detection", In ICSLP-1996, 1201-1204.