Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Paul Maanen"'
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Recent advancements in neuroscientific research and miniaturized ear-electroencephalography (EEG) technologies have led to the idea of employing brain signals as additional input to hearing aid algorithms. The information acquired through EEG could p
Externí odkaz:
https://doaj.org/article/2ab0b5d70ad14480921ca3d386c7c0ff
Publikováno v:
SoftwareX, Vol 17, Iss , Pp 100953- (2022)
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 hearin
Externí odkaz:
https://doaj.org/article/e189d4dbe0ca427b8d66faa5b412d873
Publikováno v:
The Journal of the Acoustical Society of America. 146:2879-2879
The project R01DC015429 “Open community platform for hearing aid algorithm research” provides a software platform for real-time, low-latency audio signal processing: the open Master Hearing Aid (openMHA). It contains a versatile set of basic and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::968c1530108d4889fd7b7d952806d0a9
https://doi.org/10.1121/1.5136988
https://doi.org/10.1121/1.5136988
Autor:
Volker Hohmann, Tobias Herzke, Louis Wong, zezhang Hou, Paul Maanen, S. R. Prakash, Caslav V. Pavlovic, Hendrik Kayser
Publikováno v:
The Journal of the Acoustical Society of America. 143:1738-1738
The NIDCD has recently funded a number of projects to develop portable signal processing tools that enable real-time processing of the acoustic environment. The overarching goal is to provide a large group of researchers with the means to efficiently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b9e20e2ccdf3513cec8d0955eea3b9e
https://doi.org/10.1121/1.5035670
https://doi.org/10.1121/1.5035670