Declipping of Speech Signals Using Frequency Selective Extrapolation

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Jonscher M, Seiler J, Kaup A
Editor(s): VDE
Publication year: 2014
Pages range: 1-4


Abstract


The reconstruction of clipped speech signals is an important task in audio signal processing to achieve an enhanced audio quality for further processing. In this paper, Frequency Selective Extrapolation (FSE), which is commonly used for error concealment or the reconstruction of incomplete image data, is adapted to be able to restore audio signals which are distorted from clipping. For this, FSE generates a model of the signal as an iterative superposition of Fourier basis functions. Clipped samples can then be replaced by estimated samples from the model. The performance of the proposed algorithm is evaluated by using different speech test data sets. Compared to other stateof- the-art declipping algorithms, this leads to a maximum gain in SNR of up to 3.5 dB and an average gain of 1 dB.



FAU Authors / FAU Editors

Jonscher, Markus Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Jonscher, M., Seiler, J., & Kaup, A. (2014). Declipping of Speech Signals Using Frequency Selective Extrapolation. In VDE (Eds.), (pp. 1-4). Erlangen, DE.

MLA:
Jonscher, Markus, Jürgen Seiler, and Andre Kaup. "Declipping of Speech Signals Using Frequency Selective Extrapolation." Proceedings of the ITG Conference on Speech Communication, Erlangen Ed. VDE, 2014. 1-4.

BibTeX: 

Last updated on 2018-10-08 at 05:13