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Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA)
open Master Hearing Aid (openMHA) was developed and provided to the hearing aid research community as an open-source software platform with the aim to support sustainable and reproducible research towards improvement and new types of assistive hearing systems not limited by proprietary software. The...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022875/ https://www.ncbi.nlm.nih.gov/pubmed/35465173 http://dx.doi.org/10.1016/j.softx.2021.100953 |
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author | Kayser, Hendrik Herzke, Tobias Maanen, Paul Zimmermann, Max Grimm, Giso Hohmann, Volker |
author_facet | Kayser, Hendrik Herzke, Tobias Maanen, Paul Zimmermann, Max Grimm, Giso Hohmann, Volker |
author_sort | Kayser, Hendrik |
collection | PubMed |
description | open Master Hearing Aid (openMHA) was developed and provided to the hearing aid research community as an open-source software platform with the aim to support sustainable and reproducible research towards improvement and new types of assistive hearing systems not limited by proprietary software. The software offers a flexible framework that allows the users to conduct hearing aid research using tools and a number of signal processing plugins provided with the software as well as the implementation of own methods. The openMHA software is independent of a specific hardware and supports Linux, macOS and Windows operating systems as well as 32-bit and 64-bit ARM-based architectures such as used in small portable integrated systems. www.openmha.org |
format | Online Article Text |
id | pubmed-9022875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-90228752022-04-21 Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA) Kayser, Hendrik Herzke, Tobias Maanen, Paul Zimmermann, Max Grimm, Giso Hohmann, Volker SoftwareX Article open Master Hearing Aid (openMHA) was developed and provided to the hearing aid research community as an open-source software platform with the aim to support sustainable and reproducible research towards improvement and new types of assistive hearing systems not limited by proprietary software. The software offers a flexible framework that allows the users to conduct hearing aid research using tools and a number of signal processing plugins provided with the software as well as the implementation of own methods. The openMHA software is independent of a specific hardware and supports Linux, macOS and Windows operating systems as well as 32-bit and 64-bit ARM-based architectures such as used in small portable integrated systems. www.openmha.org 2022-01 2021-12-30 /pmc/articles/PMC9022875/ /pubmed/35465173 http://dx.doi.org/10.1016/j.softx.2021.100953 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Article Kayser, Hendrik Herzke, Tobias Maanen, Paul Zimmermann, Max Grimm, Giso Hohmann, Volker Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA) |
title | Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA) |
title_full | Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA) |
title_fullStr | Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA) |
title_full_unstemmed | Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA) |
title_short | Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA) |
title_sort | open community platform for hearing aid algorithm research: open master hearing aid (openmha) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022875/ https://www.ncbi.nlm.nih.gov/pubmed/35465173 http://dx.doi.org/10.1016/j.softx.2021.100953 |
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