Declipping of Speech Signals Using Frequency Selective Extrapolation

Jonscher M, Seiler J, Kaup A (2014)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2014

Pages Range: 1-4

Event location: Erlangen DE

ISBN: 978-3-8007-3640-9

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.

Authors with CRIS profile

Markus Jonscher Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Jürgen Seiler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Jonscher, M., Seiler, J., & Kaup, A. (2014). Declipping of Speech Signals Using Frequency Selective Extrapolation. In VDE (Eds.), Proceedings of the 11. ITG Conference on Speech Communication (pp. 1-4). Erlangen, DE.

MLA:

Jonscher, Markus, Jürgen Seiler, and André Kaup. "Declipping of Speech Signals Using Frequency Selective Extrapolation." Proceedings of the 11. ITG Conference on Speech Communication, Erlangen Ed. VDE, 2014. 1-4.

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