Projects per year
Abstract
Speech enhancement is vital for improved listening practices. Ad hoc microphone arrays are promising assets for this purpose. Most well-established enhancement techniques with conventional arrays can be adapted into ad hoc scenarios. Despite recent efforts to introduce various ad hoc speech enhancement apparatus, a common framework for integration of conventional methods into this new scheme is still missing. This paper establishes such an abstraction based on inter and intra sub-array speech coherencies. Along with measures for signal quality at the input of sub-arrays, a measure of coherency is proposed both for sub-array selection in local enhancement approaches, and also for selecting a proper global reference when more than one sub-array are used. Proposed methods within this framework are evaluated with regard to quantitative and qualitative measures, including array gains, the speech distortion ratio, the PESQ measure, and the STOI intelligibility measure. Major findings in this work are the observed changes in the superiority of different methods for certain conditions. When perceptual quality or intelligibility of the speech are the ultimate goals, there are turning points where the MVDR and the LCMV are superior to Wiener-based methods. Also, for certain scenarios, local approaches may be preferred to global ones.
Original language | English |
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Article number | 07423739 |
Journal | I E E E Transactions on Audio, Speech and Language Processing |
Volume | 24 |
Issue number | 16 |
Pages (from-to) | 1038-1051 |
Number of pages | 14 |
ISSN | 1558-7916 |
DOIs | |
Publication status | Published - 2 Mar 2016 |
Keywords
- speech enhancement
- microphone array
- noise reduction
- multichannel
- pseudo-coherence vector
- ad hoc array
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Dive into the research topics of 'A Framework for Speech Enhancement with Ad Hoc Microphone Arrays'. Together they form a unique fingerprint.Projects
- 2 Finished
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Localization and Tracking of Speech - a Joint Audio-Visual Approach
01/10/2013 → 30/09/2016
Project: Research
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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
Project: Research