Hynek Hermansky

Affiliations: 
Johns Hopkins University, Baltimore, MD 
Area:
automatic speech recognition
Google:
"Hynek Hermansky"
Mean distance: 16.05 (cluster 17)
 
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Publications

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Kayser H, Hermansky H, Meyer BT. (2022) Spatial speech detection for binaural hearing aids using deep phoneme classifiers. Acta Acustica. European Acoustics Association. 6
Li R, Wang X, Mallidi SH, et al. (2020) Multi-Stream End-to-End Speech Recognition Ieee/Acm Transactions On Audio, Speech, and Language Processing. 28: 646-655
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
Hermansky H. (2019) Coding and decoding of messages in human speech communication: Implications for machine recognition of speech Speech Communication. 106: 112-117
Castro Martinez AM, Gerlach L, Payá-Vayá G, et al. (2019) DNN-based performance measures for predicting error rates in automatic speech recognition and optimizing hearing aid parameters Speech Communication. 106: 44-56
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
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
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
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
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