Publications

Found 11 results
Author Title [ Type(Asc)] Year
Filters: Author is Steven Wegmann  [Clear All Filters]
Conference Paper
Wegmann, S., Faria A., Janin A., Riedhammer K., & Morgan N. (2013).  The Tao of ATWV: Probing the Mysteries of Keyword Search Performance.
Ravuri, S., & Wegmann S. (2016).  How neural network depth compensates for HMM conditional independence assumptions in DNN-HMM acoustic models. Proceedings of Interspeech 2016.
Su, H., & Wegmann S. (2016).  Factor analysis based speaker verification using ASR. Proceedings of Interspeech 2016.
Gillick, D., Gillick L., & Wegmann S. (2011).  Don't Multiply Lightly: Quantifying Problems with the Acoustic Model Assumptions in Speech Recognition.
Gillick, D., Wegmann S., & Gillick L. (2012).  Discriminative Training for Speech Recognition is Compensating for Statistical Dependence on the HMM Framework. 4745-4748.
Vinyals, O., & Wegmann S. (2014).  Chasing the Metric: Smoothing Learning Algorithms for Keyword Detection.
van Hout, J., Ferrer L., Vergyri D., Scheffer N., Lei Y., Mitra V., et al. (2014).  Calibration and Multiple System Fusion for Spoken Term Detection Using Linear Logistic Regression.
Parthasarathi, S. Hari Krish, Chang S-Y., Cohen J., Morgan N., & Wegmann S. (2013).  The Blame Game in Meeting Room ASR: An Analysis of Feature versus Model Errors in Noisy and Mismatched Conditions.
Fosler-Lussier, E., Weintraub M., Wegmann S., Kao Y-H., Khudanpur S., Galles C., et al. (1996).  Automatic Learning of Word Pronunciation from Data. Proceedings of the Fourth International Conference on Spoken Language Processing (CSLP-96).