Samuel Thomas, Ph.D.
Affiliations: | Electrical and Computer Engineering | Johns Hopkins University, Baltimore, MD |
Area:
automatic speech recognitionGoogle:
"Samuel Thomas"Mean distance: 18.05 (cluster 17)
Parents
Sign in to add mentor| Hynek Hermansky | grad student | 2012 | Johns Hopkins | |
| (Data-driven neural network based feature front-ends for automatic speech recognition.) | ||||
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Publications
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| Jansen A, Dupoux E, Goldwater S, et al. (2013) A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 8111-8115 |
| Jansen A, Thomas S, Hermansky H. (2013) Weak top-down constraints for unsupervised acoustic model training Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 8091-8095 |
| Plchot O, Matsoukas S, Matejka P, et al. (2013) Developing a speaker identification system for the DARPA RATS project Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6768-6772 |
| Thomas S, Seltzer ML, Church K, et al. (2013) Deep neural network features and semi-supervised training for low resource speech recognition Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6704-6708 |
| Thomas S, Ganapathy S, Hermansky H. (2012) Multilingual MLP features for low-resource LVCSR systems Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4269-4272 |
| Mesgarani N, Thomas S, Hermansky H. (2011) Toward optimizing stream fusion in multistream recognition of speech. The Journal of the Acoustical Society of America. 130: EL14-8 |
| Thomas S, Nguyen P, Zweig G, et al. (2011) MLP based phoneme detectors for automatic speech recognition Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5024-5027 |
| Povey D, Burget L, Agarwal M, et al. (2011) The subspace Gaussian mixture model - A structured model for speech recognition Computer Speech and Language. 25: 404-439 |
| Ganapathy S, Thomas S, Hermansky H. (2010) Temporal envelope compensation for robust phoneme recognition using modulation spectrum. The Journal of the Acoustical Society of America. 128: 3769-80 |
| Ganapathy S, Thomas S, Hermansky H. (2010) Robust spectro-temporal features based on autoregressive models of Hilbert envelopes Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4286-4289 |