Publications – Details
Corpus Based Reconstruction of Speech Degraded by Wind Noise
- Authors:
- Christoph Matthias Nelke, Patrick A. Naylor, and Peter Vary
- Book Title:
- Proceedings of European Signal Processing Conference (EUSIPCO)
- Number:
- CFP1540S-USB
- Venue:
- Nice, France
- Event Date:
- 31.8.-4.9.2015
- Organization:
- EURASIP
- Location:
- Nice, France
- Date:
- Aug. 2015
- Pages:
- 869–873
- 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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