Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Johannes Gauer"'
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Music is difficult to access for the majority of CI users as the reduced dynamic range and poor spectral resolution in cochlear implants (CI), amongst others constraints, severely impair their auditory perception. The reduction of spectral complexity
Externí odkaz:
https://doaj.org/article/fb9f5804569d42fc988dd52584d6f491
Publikováno v:
The Journal of the Acoustical Society of America. 153:1307-1318
Cochlear implants (CIs) can partially restore speech perception to relatively high levels in listeners with moderate to profound hearing loss. However, for most CI listeners, the perception and enjoyment of music remains notably poor. Since a number
Publikováno v:
The Journal of the Acoustical Society of America. 151(5)
While cochlear implants (CIs) have proven to restore speech perception to a remarkable extent, access to music remains difficult for most CI users. In this work, a methodology for the design of deep learning-based signal preprocessing strategies that
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Publikováno v:
Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn.
Publikováno v:
Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn.
Publikováno v:
ICASSP
Cochlear implant (CI) users suffer from limitations in music perception and thus prefer music which has a clear rhythm/beat and is played with only a few instruments. Therefore, existing music pre-processing methods aim to enhance music signals for C
Publikováno v:
Abstract- und Posterband – 91. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Welche Qualität macht den Unterschied.
Publikováno v:
Abstract- und Posterband – 91. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Welche Qualität macht den Unterschied.
Publikováno v:
ICASSP
In this paper we propose a new scheme for vehicle engine noise classification as a more privacy-preserving alternative to classifying vehicles based on video recordings. We establish two scenarios: diesel vs. petrol and heavy goods vehicle vs. person