Efficient Implementation of Adaptive Wiener Filter for Pitch Detection from Noisy Speech Signals

Nasr, Marwa A.; Abd-Elnaby, Mohammed; El-Fishawy, Adel S.; El-Rabaie, S.; Abd El-Samie, Fathi E.

doi:10.21608/mjeer.2018.64399

Efficient Implementation of Adaptive Wiener Filter for Pitch Detection from Noisy Speech Signals

Document Type : Original Article

Authors

Dept. of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

10.21608/mjeer.2018.64399

Abstract

In this paper, we present an implementation of adaptive Wiener filtering as a speech enhancement technique for the pitch detection purpose from speech signals affected by noise. The adaptive Wiener filtering is used as a pre-processing stage for speech enhancement, and then a combined technique from Auto-Correlation Function (ACF) and Average Magnitude Difference Function (AMDF) is implemented to get accurate results. The main objective is to improve the process of detecting the fundamental frequency of the speech signal. The adaptive Wiener filter shows a superiority in the proposed pitch detection method as compared to the traditional Wiener filterandspectral subtraction.

Keywords

References

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