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Abstract
In this paper, we provide an overview of some recently introduced principles and ideas for speech enhancement with linear filtering and explore how these are related, and how they can be used in various applications. This is done in a general framework where the speech enhancement problem is stated as a signal vector estimation problem, i.e., with a filter matrix, where the estimate is obtained by means of a matrix-vector product of the filter matrix and the noisy signal vector. In this framework minimum distortion, MVDR, tradeoff, maximum SNR, and Wiener filters are derived from the conventional speech enhancement approach and the recently introduced orthogonal decomposition approach. For each of the filters, we derive their properties in terms of output SNR and speech distortion. We then demonstrate how the ideas can be applied to single- and multichannel noise reduction in both the time and frequency domains as well as binaural noise reduction.
Originalsprog | Engelsk |
---|---|
Artikelnummer | 1 |
Tidsskrift | Eurasip Journal on Advances in Signal Processing |
Vol/bind | 2014 |
Udgave nummer | 162 |
Sider (fra-til) | 1-10 |
Antal sider | 10 |
ISSN | 1687-6172 |
DOI | |
Status | Udgivet - nov. 2014 |
Emneord
- noise reduction
- speech enhancement
- orthogonal decomposition
- performance measures
- optimal linear filtering
- single-channel
- multichannel
- binaural
- time domain
- Frequency Domain
Fingeraftryk
Dyk ned i forskningsemnerne om 'A brief overview of speech enhancement with linear filtering'. Sammen danner de et unikt fingeraftryk.Projekter
- 2 Afsluttet
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Localization and Tracking of Speech - a Joint Audio-Visual Approach
01/10/2013 → 30/09/2016
Projekter: Projekt › Forskning
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Spatio-Temporal Filtering Methods for Enhancement and Separation of Speech Signals
Christensen, M. G., Nørholm, S. M., Karimian-Azari, S. & Jensen, J. R.
01/08/2012 → 30/06/2015
Projekter: Projekt › Forskning