Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jana Roßbach"'
Publikováno v:
The Journal of the Acoustical Society of America. 151:1417-1427
Automatic speech recognition (ASR) has made major progress based on deep machine learning, which motivated the use of deep neural networks (DNNs) as perception models and specifically to predict human speech recognition (HSR). This study investigates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fbe297be8e888930ad415dc99dab52a
https://doi.org/10.1121/10.0009411
https://doi.org/10.1121/10.0009411
Autor:
Jana Roßbach, Rainer Huber, Saskia Röttges, Christopher F. Hauth, Thomas Biberger, Thomas Brand, Bernd T. Meyer, Jan Rennies
Publikováno v:
Interspeech 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::083e6950b9463c11cb32ad0a5e84157f
https://doi.org/10.21437/interspeech.2022-10460
https://doi.org/10.21437/interspeech.2022-10460
Autor:
Angel Mario Castro Martinez, Constantin Spille, Jana Roßbach, Birger Kollmeier, Bernd T. Meyer
This paper presents a speech intelligibility model based on automatic speech recognition (ASR), combining phoneme probabilities from deep neural networks (DNN) and a performance measure that estimates the word error rate from these probabilities. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8aa67700e0250c4a83c3120159aba82
