Spectro-temporal modulation subspace-spanning filter bank features for robust automatic speech recognition MR Schädler, BT Meyer, B Kollmeier The Journal of the Acoustical Society of America 131 (5), 4134-4151, 2012 | 148 | 2012 |
Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines. T Wesker, BT Meyer, K Wagener, J Anemüller, A Mertins, B Kollmeier Interspeech, 1273-1276, 2005 | 102 | 2005 |
Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines. T Wesker, BT Meyer, K Wagener, J Anemüller, A Mertins, B Kollmeier Interspeech, 1273-1276, 2005 | 102 | 2005 |
Perception of speech and sound B Kollmeier, T Brand, B Meyer Springer handbook of speech processing, 61-82, 2008 | 100 | 2008 |
Ad hoc-interpreting and the achievement of communicative purposes in doctor-patient-communication K Bührig, B Meyer Multilingual communication 3, 43-62, 2004 | 90 | 2004 |
Machine learning for decoding listeners’ attention from electroencephalography evoked by continuous speech T de Taillez, B Kollmeier, BT Meyer European Journal of Neuroscience 51 (5), 1234-1241, 2020 | 85 | 2020 |
Noise robust distant automatic speech recognition utilizing NMF based source separation and auditory feature extraction N Moritz, MR Schädler, K Adiloglu, BT Meyer, T Jürgens, T Gerkmann, ... Proc. of CHiME, 1-6, 2013 | 82 | 2013 |
Predicting speech intelligibility with deep neural networks C Spille, SD Ewert, B Kollmeier, BT Meyer Computer Speech & Language 48, 51-66, 2018 | 74 | 2018 |
Dual-signal transformation lstm network for real-time noise suppression NL Westhausen, BT Meyer arXiv preprint arXiv:2005.07551, 2020 | 73 | 2020 |
Robustness of spectro-temporal features against intrinsic and extrinsic variations in automatic speech recognition BT Meyer, B Kollmeier Speech Communication 53 (5), 753-767, 2011 | 71 | 2011 |
Effect of speech-intrinsic variations on human and automatic recognition of spoken phonemes BT Meyer, T Brand, B Kollmeier The Journal of the Acoustical Society of America 129 (1), 388-403, 2011 | 55 | 2011 |
Phoneme confusions in human and automatic speech recognition BT Meyer, M Wächter, T Brand, B Kollmeier Eighth Annual Conference of the International Speech Communication Association, 2007 | 52 | 2007 |
Comparing different flavors of spectro-temporal features for ASR BT Meyer, SV Ravuri, MR Schädler, N Morgan Twelfth Annual Conference of the International Speech Communication Association, 2011 | 48 | 2011 |
Sentence recognition prediction for hearing-impaired listeners in stationary and fluctuation noise with FADE: Empowering the attenuation and distortion concept by Plomp with a … B Kollmeier, MR Schädler, A Warzybok, BT Meyer, T Brand Trends in hearing 20, 2331216516655795, 2016 | 44 | 2016 |
Human phoneme recognition depending on speech-intrinsic variability BT Meyer, T Jürgens, T Wesker, T Brand, B Kollmeier The Journal of the Acoustical Society of America 128 (5), 3126-3141, 2010 | 44 | 2010 |
Electroencephalography-based auditory attention decoding: Toward neurosteered hearing devices S Geirnaert, S Vandecappelle, E Alickovic, A de Cheveigne, E Lalor, ... IEEE Signal Processing Magazine 38 (4), 89-102, 2021 | 43 | 2021 |
A human-machine comparison in speech recognition based on a logatome corpus B Meyer, T Wesker, T Brand, A Mertins, B Kollmeier Speech Recognition and Intrinsic Variation Workshop, 2006 | 42 | 2006 |
Optimization and evaluation of Gabor feature sets for ASR BT Meyer, B Kollmeier Ninth Annual Conference of the International Speech Communication Association, 2008 | 39 | 2008 |
Acoustic echo cancellation with the dual-signal transformation LSTM network NL Westhausen, BT Meyer ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 37 | 2021 |
Comparing human and automatic speech recognition in simple and complex acoustic scenes C Spille, B Kollmeier, BT Meyer Computer Speech & Language 52, 123-140, 2018 | 37 | 2018 |