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Femke Gelderblom

Research Scientist/PhD Fellow

Femke Gelderblom

Research Scientist/PhD Fellow

Femke Gelderblom
Phone: +47 451 74 644
Email:
Department: Connectivity Technologies and Platforms
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/1632077/

Speech enhancement systems aim to improve the quality and intelligibility of noisy speech. In this study, we compare two speech enhancement systems based on deep neural networks. The speech intelligibility and quality of both systems was evaluated subjectively, by a Speech Recognition Test based on...

Authors Femke Gelderblom Tron Vedul Tronstad Erlend Magnus Viggen
Year 2018
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/1488349/

Recent literature indicates increasing interest in deep neural networks for use in speech enhancement systems. Currently, these systems are mostly evaluated through objective measures of speech quality and/or intelligibility. Subjective intelligibility evaluations of these systems have so far not...

Authors Femke Gelderblom Tron Vedul Tronstad Erlend Magnus Viggen
Year 2017
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/1392506/

Although aircraft noise-induced annoyance prevalence rates vary greatly for similar noise exposure levels in different times and places, some suggest that communities have recently reacted more strongly to aircraft noise than in the past. Others regard claims of greater annoyance over time at...

Authors Femke Gelderblom Truls T Gjestland Sanford Fidell Bernard Berry
Year 2017
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/1450187/

The relationship between the prevalence of noise induced annoyance and the noise exposure is traditionally described by a cumulative noise metric such as DNL. Such dose-response functions have no restrictions regarding how the dose has been derived, e.g. either a large number of low level noise...

Year 2017
Type Academic article