Corpus Based Reconstruction of Speech Degraded by Wind Noise

Authors:

Nelke, C. M. ,  Naylor, P. A. ,  Vary, P.

Book Title:

Proceedings of European Signal Processing Conference (EUSIPCO)

Organization:

EURASIP

Number:

CFP1540S-USB

Pages:

p.p. 869-873

Date:

Aug. 2015

ISBN:

978-0-99286-264-0

ISSN:

2076-1465

Language:

English

Abstract

This contribution addresses the problem of enhancing a speech signal which is degraded by wind noise. The characteristic that wind noise signals are sparse in time and frequency is exploited in a way that only time-frequency regions that are determined as degraded are enhanced. In these regions of the noisy signal, a process is applied to reconstruct the clean speech data. This is realized by a separation of the noisy speech signal into an autoregressive filter representing the human vocal tract and its excitation signal. The clean filter coefficients of the former are estimated using a pre-trained codebook. A pitch cycle taken from clean speech is adapted to reconstruct the excitation of noisy speech segments.

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