Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Aoxin Ni"'
Publikováno v:
IEEE Access, Vol 12, Pp 112116-112123 (2024)
Personalization of the amplification function of hearing aids has been shown to be of benefit to hearing aid users in previous studies. Several machine learning-based personalization approaches have been introduced in the literature. This paper prese
Externí odkaz:
https://doaj.org/article/faa44c63dec741aea7151f498ec4f008
Publikováno v:
Sensors, Vol 24, Iss 5, p 1546 (2024)
This paper provides a review of various machine learning approaches that have appeared in the literature aimed at individualizing or personalizing the amplification settings of hearing aids. After stating the limitations associated with the current o
Externí odkaz:
https://doaj.org/article/95dfca0aaea64a488fa13d1f10e5f338
Publikováno v:
Sensors, Vol 22, Iss 16, p 6033 (2022)
Adaptive dynamic range optimization (ADRO) is a hearing aid fitting rationale which involves adjusting the gains in a number of frequency bands by using a series of rules. The rules reflect the comparison of the estimated percentile occurrences of th
Externí odkaz:
https://doaj.org/article/95453e193bff4a739922a6c1008b5877
Autor:
Aoxin Ni, Nasser Kehtarnavaz
Publikováno v:
Sensors, Vol 22, Iss 9, p 3306 (2022)
This paper presents an assistive hearing smartphone app mimicking the two main functions of hearing aids, consisting of compression and noise reduction. The app is designed to run in real time on smartphones or tablets. Appropriate levels of amplific
Externí odkaz:
https://doaj.org/article/c2bfcb128e504ba8ade55e46068cdd7c
Publikováno v:
Sensors, Vol 21, Iss 11, p 3719 (2021)
The interest in contactless or remote heart rate measurement has been steadily growing in healthcare and sports applications. Contactless methods involve the utilization of a video camera and image processing algorithms. Recently, deep learning metho
Externí odkaz:
https://doaj.org/article/e4acc5f3878245bf84d6b4a490d5c823