Hynek Hermansky
Affiliations: | Johns Hopkins University, Baltimore, MD |
Area:
automatic speech recognitionGoogle:
"Hynek Hermansky"Mean distance: 16.05 (cluster 17)
Children
Sign in to add trainee| Maria C. Parada | grad student | 2011 | Johns Hopkins |
| Sriram Ganapathy | grad student | 2012 | Johns Hopkins |
| Sri V. Garimella | grad student | 2012 | Johns Hopkins |
| Samuel Thomas | grad student | 2012 | Johns Hopkins |
| Nima Mesgarani | post-doc | 2008-2013 | Johns Hopkins |
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Publications
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| Mahajan NR, Mesgarani N, Hermansky H. (2019) General properties of auditory spectro-temporal receptive fields. The Journal of the Acoustical Society of America. 146: EL459 |
| Hsiao R, Ma J, Hartmann W, et al. (2016) Robust speech recognition in unknown reverberant and noisy conditions 2015 Ieee Workshop On Automatic Speech Recognition and Understanding, Asru 2015 - Proceedings. 533-538 |
| Mallidi SH, Ogawa T, Hermansky H. (2016) Uncertainty estimation of DNN classifiers 2015 Ieee Workshop On Automatic Speech Recognition and Understanding, Asru 2015 - Proceedings. 283-288 |
| Hermansky H, Burget L, Cohen J, et al. (2015) Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2015: 5009-5013 |
| Ganapathy S, Mallidi SH, Hermansky H. (2014) Robust feature extraction using modulation filtering of autoregressive models Ieee Transactions On Audio, Speech and Language Processing. 22: 1285-1295 |
| Kintzley K, Jansen A, Hermansky H. (2014) Featherweight phonetic keyword search for conversational speech Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 7859-7863 |
| Mahajan N, Mesgarani N, Hermansky H. (2014) Principal components of auditory spectro-temporal receptive fields Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 1983-1987 |
| Li F, Nidadavolu PS, Hermansky H. (2014) A long, deep and wide artificial neural net for robust speech recognition in unknown noise Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 358-362 |
| Schatz T, Peddinti V, Cao XN, et al. (2014) Evaluating speech features with the Minimal-Pair ABX task (II): Resistance to noise Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 915-919 |
| Garimella S, Hermansky H. (2013) Factor analysis of auto-associative neural networks with application in speaker verification. Ieee Transactions On Neural Networks and Learning Systems. 24: 522-8 |