Evaluation of SpeakerBeam target speech extraction in real noisy and reverberant conditions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134191" target="_blank" >RIV/00216305:26230/19:PU134191 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/12103/" target="_blank" >https://www.fit.vut.cz/research/publication/12103/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Evaluation of SpeakerBeam target speech extraction in real noisy and reverberant conditions
Original language description
The paper discusses SpeakerBeam for target speaker extraction. The main variation is in the use of a scaling adaptation layer to adapt a neural network instead of the previously proposed factorized layer. This enables to greatly reduce the number of model parameters, without affecting performance.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
THE JOURNAL OF THE ACOUSTICAL SOCIETY OF JAPAN
ISSN
0369-4232
e-ISSN
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Volume of the periodical
2019
Issue of the periodical within the volume
2
Country of publishing house
JP - JAPAN
Number of pages
2
Pages from-to
1-2
UT code for WoS article
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EID of the result in the Scopus database
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