Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Bernd T, Meyer"'
Binaural Multichannel Blind Speaker Separation With a Causal Low-Latency and Low-Complexity Approach
Autor:
Nils L. Westhausen, Bernd T. Meyer
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 238-247 (2024)
In this article, we introduce a causal low-latency low-complexity approach for binaural multichannel blind speaker separation in noisy reverberant conditions. The model, referred to as Group Communication Binaural Filter and Sum Network (GCBFSnet) pr
Externí odkaz:
https://doaj.org/article/43417e269aa94b4e9462dfe9903494ac
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
Publikováno v:
Acta acustica. European Acoustics Association. 6
Current hearing aids are limited with respect to speech-specific optimization for spatial sound sources to perform speech enhancement. In this study, we therefore propose an approach for spatial detection of speech based on sound source localization
Autor:
Jana Roßbach, Rainer Huber, Saskia Röttges, Christopher F. Hauth, Thomas Biberger, Thomas Brand, Bernd T. Meyer, Jan Rennies
Publikováno v:
Interspeech 2022.
Publikováno v:
Trends in Hearing, Vol 20 (2016)
To characterize the individual patient’s hearing impairment as obtained with the matrix sentence recognition test, a simulation Framework for Auditory Discrimination Experiments (FADE) is extended here using the Attenuation and Distortion (A+D) app
Externí odkaz:
https://doaj.org/article/6db94412c77e4daabc1fd6d367c68ae9
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
Publikováno v:
Interspeech 2012.
Publikováno v:
Interspeech 2011.
Autor:
Bernd T. Meyer
Publikováno v:
Proceedings of Meetings on Acoustics.
Autor:
Bernd T. Meyer, Birger Kollmeier
Publikováno v:
Interspeech 2010.