Publications

Found 983 results
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I
Fosler-Lussier, E., Greenberg S., & Morgan N. (1999).  Incorporating Contextual Phonetics Into Automatic Speech Recognition. Proceedings of the International Congress of Phonetic Sciences. 1, 611-614.
Wu, S-L., Kingsbury B., Morgan N., & Greenberg S. (1998).  Incorporating Information from Syllable-length Time Scales into Automatic Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1998). 721-724.
Zhu, Q., Stolcke A., Chen B. Y., & Morgan N. (2004).  Incorporating Tandem/HATs MLP Features into SRI's Conversational Speech Recognition System. Proceedings of the EARS RT-04F Workshop.
Mańdziuk, J., & Shastri L. (1998).  Incremental Class Learning Approach and Its Application to Handwritten Digit Recognition.
Ma, L.., Montague G.., Ye J.., Yao Z.., Gholami A.., Keutzer K.., et al. (2020).  Inefficiency of K-FAC for Large Batch Size Training. Proceedings of the AAAI-20 Conference.
Ma, L.., Montague G.., Ye J.., Yao Z.., Gholami A.., Keutzer K.., et al. (2020).  Inefficiency of K-FAC for Large Batch Size Training. Proceedings of the AAAI-20 Conference.
Ma, L.., Montague G.., Ye J.., Yao Z.., Gholami A.., Keutzer K.., et al. (2020).  Inefficiency of K-FAC for Large Batch Size Training. Proceedings of the AAAI-20 Conference.
Nurgalieva, L., Frik A., Ceschel F., Egelman S., & Marchese M. (2019).  Information Design in An Aged Care Context. Proceedings of Pervasive Health ’19.
Chang, S-Y., & Morgan N. (2013).  Informative Spectro-Temporal Bottleneck Features for Noise-Robust Speech Recognition.
Moore, D., Paxson V., Savage S., Shannon C., Staniford S., & Weaver N. (2003).  Inside the Slammer Worm. IEEE Magazine of Security and Privacy. 1(4), 33-39.
Jurafsky, D., Wooters C., Tajchman G., Segal J., Stolcke A., & Morgan N. (1994).  Integrating Experimental Models of Syntax, Phonology, and Accent/Dialect in a Speech Recognizer. Proceedings of the 12th National Conference on Artificial Intelligence (AAAI-94), Seattle, Washington.
Koehler, J., Morgan N., Hermansky H., Hirsch H-G., & Tong G.. (1994).  Integrating RASTA-PLP into Speech Recognition. Proceedings of IEEE International Conference on Acoustics, Speech & Signal Processing.
Wu, S-L., Shire M. Lee, Greenberg S., & Morgan N. (1997).  Integrating Syllable Boundary Information Into Speech Recognition. The 22nd International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1997). 2, 987-990.
Milanese, R., Wechsler H., Gil S., Bost J-M., & Pun T. (1994).  Integration of Bottom-Up and Top-Down Cues for Visual Attention Using Non-Linear Relaxation.
Raghavan, B., Irwin D., Albrecht J., Ma J., & Streed A. (2012).  An Intermittent Energy Internet Architecture.
Baum, E.. B., Moody J., & Wilczek F. (1988).  Internal Representations for Associative Memory. 59, 217-228.
Manzoni, P. (1994).  Introducing Resources Management in IP-Based Nodes.
Zeiler, S., Meutzner H., Abdelaziz A. Hussen, & Kolossa D. (2016).  Introducing the Turbo-Twin-HMM for Audio-Visual Speech Enhancement. Proceedings of Interspeech 2016.
Morgan, N., & Bourlard H. (1995).  An Introduction to Hybrid HMM/Connectionist Continuous Speech Recognition. IEEE Signal Processing Magazine. 25-42.
Yu, D., Hinton G., Morgan N., Chien J-T., & Sagayama S. (2012).  Introduction to the Special Section on Deep Learning for Speech and Language Processing. IEEE Transactions on Audio. 20(1), 4-6.
Mahdavi, J., & Paxson V. (1999).  IPPM Metrics for Measuring Connectivity.
Böhme, R.., & Moore T.. (2010).  The Iterated Weakest Link. IEEE Security and Privacy. 9(1), 53-55.
J
März, A., & Ulrich R. (1996).  JAM: A Java Toolkit for Traffic Analyzing and Monitoring.
K
Marczak, B., & Scott-Railton J. (2016).  Keep Calm and (Don’t) Enable Macros: A New Threat Actor Targets UAE Dissidents. The Citizen Lab.
Harbach, M., De Luca A., Malkin N., & Egelman S. (2016).  Keep on Lockin’ in the Free World: A Multi-National Comparison of Smartphone Locking. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’16).

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