Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Jasper Ooster"'
1
Automated Speech Audiometry for Integrated Voice Over Internet Protocol Communication Services
Autor: Tobias Bruns, Jasper Ooster, Matthias Stennes, Jan Rennies
Publikováno v: American journal of audiology. 31(3S)
Purpose: Problems in speech recognition are often apparent in telecommunication situations. For ecologically valid assessments of such conditions, it is important to quantify the impact of real environments including acoustic conditions at a far-end
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8980d4fe24f8f8dc52714e53d72c283f
https://pubmed.ncbi.nlm.nih.gov/35994696
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2
DNN-based performance measures for predicting error rates in automatic speech recognition and optimizing hearing aid parameters
Autor: Hynek Hermansky, Lukas Gerlach, Guillermo Paya-Vaya, Bernd Meyer, Jasper Ooster, Angel Mario Castro Martinez
Publikováno v: Speech Communication. 106:44-56
In several applications of machine listening, predicting how well an automatic speech recognition system will perform before the actual decoding enables the system to adapt to unseen acoustic characteristics dynamically. Feedback about speech quality
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d75a4bd851512916067fa7daa9d57086
https://doi.org/10.1016/j.specom.2018.11.006
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5
Improving Deep Models of Speech Quality Prediction through Voice Activity Detection and Entropy-based Measures
Autor: Bernd Meyer, Jasper Ooster
Publikováno v: ICASSP
This paper explores Deep machine listening for Estimating Speech Quality (DESQ), which predicts the perceived speech quality based on phoneme posterior probabilities obtained from a deep neural network. The degradation of phonemes is quantified with
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d6ab1cf7132cc0284c8c2a26da42a625
https://doi.org/10.1109/icassp.2019.8682754
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7
Speech Audiometry at Home: Automated Listening Tests via Smart Speakers With Normal-Hearing and Hearing-Impaired Listeners
Autor: Jasper Ooster, Bernd Meyer, Birger Kollmeier, Melanie Krueger, Jörg-Hendrik Bach, Kirsten C. Wagener
Publikováno v: Trends in Hearing
Speech audiometry in noise based on sentence tests is an important diagnostic tool to assess listeners’ speech recognition threshold (SRT), i.e., the signal-to-noise ratio corresponding to 50% intelligibility. The clinical standard measurement proc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb09aba3e7442de2c52378328ebcecd6
https://doi.org/10.1177/2331216520970011
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