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.

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