Spatial source subtraction based on incomplete measurements of relative transfer function

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F15%3A%230003443" target="_blank" >RIV/46747885:24220/15:#0003443 - isvavai.cz</a>

Result on the web

<a href="http://www.scopus.com/record/display.uri?eid=2-s2.0-84955503287&origin=resultslist&sort=plf-f&src=s&st1=Spatial+Source+Subtraction+Based+on+Incomplete+Measurements+of+Relative+Transfer+Function&st2=&sid=EB31C0B4EC3785F0957732B2F309" target="_blank" >http://www.scopus.com/record/display.uri?eid=2-s2.0-84955503287&origin=resultslist&sort=plf-f&src=s&st1=Spatial+Source+Subtraction+Based+on+Incomplete+Measurements+of+Relative+Transfer+Function&st2=&sid=EB31C0B4EC3785F0957732B2F309</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TASLP.2015.2425213" target="_blank" >10.1109/TASLP.2015.2425213</a>

Result language

angličtina

Original language name

Spatial source subtraction based on incomplete measurements of relative transfer function

Original language description

Relative impulse responses between microphones are usually long and dense due to the reverberant acoustic environment. Estimating them from short and noisy recordings poses a long-standing challenge of audio signal processing. In this paper, we apply a novel strategy based on ideas of compressed sensing. Relative transfer function (RTF) corresponding to the relative impulse response can often be estimated accurately from noisy data but only for certain frequencies. This means that often only an incomplete measurement of the RTF is available. A complete RTF estimate can be obtained through finding its sparsest representation in the time-domain: that is, through computing the sparsest among the corresponding relative impulse responses. Based on this approach, we propose to estimate the RTF from noisy data in three steps. First, the RTF is estimated using any conventional method such as the nonstationarity-based estimator by Gannot et al. or through blind source separation. Second, freque

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

—

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

Name of the periodical

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING

ISSN

2329-9290

e-ISSN

—

Volume of the periodical

Volume 23

Issue of the periodical within the volume

Issue 8

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

1335-1347

UT code for WoS article

000356006200008

EID of the result in the Scopus database

2-s2.0-84955503287