Sparse Reconstruction of Incomplete Relative Transfer Function: Discrete and Continuous Time Domain

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F15%3A%230003442" target="_blank" >RIV/46747885:24220/15:#0003442 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7362412&newsearch=true&queryText=Sparse" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7362412&newsearch=true&queryText=Sparse</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EUSIPCO.2015.7362412" target="_blank" >10.1109/EUSIPCO.2015.7362412</a>

Result language
angličtina
Original language name
Sparse Reconstruction of Incomplete Relative Transfer Function: Discrete and Continuous Time Domain
Original language description
Relative transfer functions (RTF) between microphones can often be estimated accurately but only for certain frequencies. For example, this happens in situations where the RTF is estimated from a noise-free signal of a target source whose spectrum does not span the whole frequency range. By combining a conventional RTF estimator and a selection of the active frequencies, an incomplete measurement of the RTF is obtained. We propose to retrieve the whole RTF estimate through finding the sparsest representation of the incomplete measurement in the discrete or continuous time-domain and compare both approaches. The RTF estimates are evaluated in terms of attenuation rate that measures the target signal cancellation at the output of a blocking matrix. It is shown by experiments that the reconstructed estimate can achieve significantly better attenuation than the initial (complete) estimate.
Czech name
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Czech description
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Project
<a href="/en/project/GA14-11898S" target="_blank" >GA14-11898S: Semi-blind methods in speech enhancement with microphone arrays</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Signal Processing Conference (EUSIPCO), 2015 23rd European
ISBN
978-099286263-3
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
394-398
Publisher name
IEEE
Place of publication
Nice, France
Event location
Nice
Event date
Jan 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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