Object's details: Deep Neural Network for Supervised Single-Channel Speech Enhancement

Provider:Czasopisma PAN

Description

Title:
Deep Neural Network for Supervised Single-Channel Speech Enhancement
Creator:
Saleem, Nasir;
Irfan Khattak, Muhammad;
Ali, Muhammad Yousaf;
Shafi, Muhammad
Description:
Archives of Acoustics is an English-language peer-reviewed quarterly journal publishing original research papers from all areas of acoustics and abstracts from some specialised acoustical conferences. It gives free internet access to its full content (abstracts of research papers) to current issues. Archives of Acoustics, the peer-reviewed quarterly journal publishes original research papers from all areas of acoustics like: acoustical measurements and instrumentation, acoustics of musics, acousto-optics, architectural, building and environmental acoustics, bioacoustics, electroacoustics, linear and nonlinear acoustics, noise and vibration, physical and chemical effects of sound, physiological acoustics, psychoacoustics, quantum acoustics, sonochemistry, speech processing and communication systems, speech production and perception, transducers, ultrasonics, underwater acoustics. IMPACT FACTOR 2022: 0.9 CiteScore 2022: 2.1 SCImago Journal Rank (SJR) 2022: 0.291 Source Normalized Impact per Paper (SNIP) 2022: 0.687 Earlier issues are available on the old website http://acoustics.ippt.gov.pl/index.php/aa/issue/archive;
Editorial Board Editor-in-Chief Andrzej Nowicki (Institute of Fundamental Technological Research PAN, Warszawa) ORCID: 0000-0002-9260-8237 Deputy Editor-in-Chief Janusz Wójcik (Institute of Fundamental Technological Research PAN, Warszawa) ORCID: 0000-0002-6120-5195 Associate Editors General linear acoustics and physical acoustics • Wojciech P. Rdzanek (University of Rzeszów, Rzeszów) ORCID: 0000-0003-4328-5563 • Anna Snakowska (AGH University of Science and Technology, Kraków) ORCID: 0000-0002-8419-0205 Architectural acoustics • Tadeusz Kamisiński (AGH University of Science and Technology, Kraków) ORCID: 0000-0002-8580-2402 • Mirosław Meissner (Institute of Fundamental Technological Research PAN, Warszawa) ORCID: 0000-0003-3885-0273 Musical acoustics and psychological acoustics • Andrzej Miśkiewicz (The Fryderyk Chopin University of Music, Warszawa) • Anna Preis (Adam Mickiewicz University, Poznań) ORCID: 0000-0002-9939-9722 Underwater acoustics and nonlinear acoustics • Jacek Marszal (Gdańsk University of Technology, Gdańsk) ORCID: 0000-0002-6760-9246 Speech, Computational acoustics and signal processing • Jędrzej Kociński (Adam Mickiewicz University, Poznań) ORCID: 0000-0001-9562-9925 Ultrasonics, transducers and instrumentation • Krzysztof Opieliński (Wrocław University of Technology, Wrocław) ORCID: 0000-0001-9531-1562 0000-0001-9531-1562 • Janusz Wójcik (Institute of Fundamental Technological Research PAN, Warszawa) ORCID: 0000-0002-6120-5195 Sonochemistry • Marzena Dzida (University of Silesia, Katowice) ORCID: 0000-0001-9566-4093 Electroacoustics • Jan Żera (Warsaw University of Technology, Warszawa) ORCID: 0000-0002-2175-6910 Noise control and environmental acoustics • Jan Andrzej Adamczyk (Central Institute for Labor Protection - National Research Institute, Warszawa) • Grzegorz Klekot (Warsaw University of Technology, Warszawa) ORCID: 0000-0001-8469-8298 • Janusz Kompała (Central Mining Institute, Katowice) ORCID: 0000-0003-4544-0547 • Lucyna Leniowska (University of Rzeszów, Rzeszów) ORCID: 0000-0002-7994-7867 • Janusz Piechowicz (AGH University of Science and Technology, Kraków) ORCID: 0000-0002-1435-4673 • Dariusz Pleban (Central Institute for Labor Protection - National Research Institute, Warszawa) ORCID: 0000-0003-1351-9584 Journal Managing Editor • Eliza Jezierska (Institute of Fundamental Technological Research PAN, Warszawa)
Object availability:
free access
Rights:
<b>Archives of Acoustics</b> is an open access journal with all content available with no charge in full text version. The journal content is available under the licencse CC BY-SA 4.0 <a href="https://creativecommons.org/licenses/by-sa/4.0/">https://creativecommons.org/licenses/by-sa/4.0/</a>.
Date:
2019.03.11
Type:
Article
Source:
Archives of Acoustics; 2019; vol. 44; No 1; 3-12
Coverage:
3-12
Publisher:
Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics
Subject:
deep neural network;
intelligibility;
speech enhancement;
speech quality;
supervised learning;
Wiener filtering
Identifier:
ISSN 0137-5075;
eISSN 2300-262X
Data provider:
Czasopisma PAN

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