Pitch Tracking and Voiced/Unvoiced Detection in Noisy Environment using Optimat Sequence Estimation

Authors

Moshe Wasserblat, Technological University Dublin
Mikel Gainza, Technological University DublinFollow
David Dorran, Technological University DublinFollow
Yuval Domb, Technological University Dublin

Document Type

Conference Paper

Rights

This item is available under a Creative Commons License for non-commercial use only

Publication Details

In IET Irish Signals and Systems Conference, Galway, Ireland, 2008, pp.43-48. Available from http://0-ieeexplore.ieee.org.ditlib.dit.ie/search/srchabstract.jsp?arnumber=4780927&isnumber=4780919&punumber=4768732&k2dockey=4780927@ieecnfs&query=((dublin+institute+of+technology)%3Cin%3Emetadata)&pos=12&access=no

Abstract

This paper addresses the problem of pitch tracking and voiced/unvoiced detection in noisy speech environments. An algorithm is presented which uses a number of variable thresholds to track pitch contour with minimal error. This is achieved by modeling the pitch tracking problem in such a way that allows the use of optimal estimation methods, such MLSE. The performance of the algorithm is evaluated using the Keele pitch detection database with realistic background noise. Results show best performance in comparison to other state of the art pitch detector and successful pitch tracking is possible in low signal to noise conditions.

Recommended Citation

Wasserblat, M., Gainza, M., Dorran, D. & Domb, Y. (2008) Pitch tracking and voiced/unvoiced detection in noisy environment using optimat sequence estimation. IET Irish Signals and Systems Conference, Galway, Ireland, 2008, pp.43-48.

Funder

European community under the Information Society Technology (1ST) programme of the 6th FP for RTD - project EASAIER contract 1ST-033902.