Publications

Found 209 results
Author Title [ Type(Asc)] Year
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Technical Report
Chang, S-Y., Morgan N., Raju A., Alwan A., & Kreiman J. (2015).  Using Fast and Slow Modulations to Model Human Hearing of Fast and Slow Speech.
Zhang, J., & Morgan N. (1990).  Stochastic Model-Based Image Segmentation Using Markov Random Fields and Multi-Layer Perceptrons.
Morgan, N., Hermansky H., & Wooters C. (1990).  SPOONS '90: The SPeech recOgnition frOnt eNd workShop.
Asanović, K., Beck J., Kingsbury B., Kohn P., Morgan N., & Wawrzynek J. (1991).  SPERT: A VLIW/SIMD Microprocessor for Artificial Neural Network Computations.
Wooters, C., & Morgan N. (1990).  Speech Segmentation and Labeling on the NeXT Machine.
Genoud, D., Ellis D. P. W., & Morgan N. (1999).  Simultaneous Speech and Speaker Recognition Using Hybrid Architecture.
Morgan, N., Chen B. Y., Zhu Q., & Stolcke A. (2003).  Scaling Up: Learning Large-Scale Recognition Methods from Small-Scale Recognition Tasks.
Kellman, M., & Morgan N. (2016).  Robust Multi-Pitch Tracking: a trained classifier based approach.
Morgan, N. (1990).  The Ring Array Processor (RAP): Algorithms and Architecture.
Bourlard, H., Konig Y., & Morgan N. (1994).  Remap: Recursive Estimation and Maximization of a Posteriori Probabilities.
Kingsbury, B., Irissou B., Asanović K., Wawrzynek J., & Morgan N. (1991).  Recent Work in VLSI Elements for Digital Implementations of Artificial Neural Networks.
Hermansky, H., Morgan N., Bayya A., & Kohn P. (1991).  RASTA-PLP Speech Analysis.
Hermansky, H., Morgan N., Bayya A., & Kohn P. (1991).  RASTA-PLP Speech Analysis.
Renals, S., Morgan N., & Bourlard H. (1991).  Probability Estimation by Feed-Forward Networks in Continuous Speech Recognition.
Chang, S-Y., Edwards E., Morgan N., Ellis D. P. W., Mesgarani N., & Chang E. (2015).  Phone Recognition for Mixed Speech Signals: Comparison of Human Auditory Cortex and Machine Performance.
Asanović, K., Bodik R., Demmel J., Keaveny T., Keutzer K., Kubiatowicz J. D., et al. (2008).  The Parallel Computing Laboratory at UC Berkeley: A Research Agenda Based on the Berkeley View.
Konig, Y., & Morgan N. (1994).  Modeling Dynamics in Connectionist Speech Recognition - The Time Index Model.
Bourlard, H., & Morgan N. (1989).  Merging Multilayer Perceptrons & Hidden Markov Models: Some Experiments in Continuous Speech Recognition.
Bourlard, H., & Morgan N. (1989).  Merging Multilayer Perceptrons and Hidden Markov Models: Some Experiments in Continuous Speech Recognition.
Mirghafori, N., Fosler-Lussier E., & Morgan N. (1995).  Making Automatic Speech Recognition More Robust to Fast Speech.
Asanović, K., Kingsbury B., Morgan N., & Wawrzynek J. (1991).  HiPNeT-1: A Highly Pipelined Architecture for Neural Network Training.
Morgan, N., & Bourlard H. (1989).  Generalization and Parameter Estimation in Feedforward Nets: Some.
Konig, Y., Morgan N., & Chandra C. (1991).  GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition.
Konig, Y., Morgan N., & Chandra C. (1991).  GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition.
Morgan, N., Cohen J., Parthasarathi S. Hari Krish, Chang S-Y., & Wegmann S. (2013).  Final Report: OUCH Project (Outing Unfortunate Characteristics of HMMs).

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