Wed.P7b.02 Gaussian Map based Acoustic Model Adaptation Using Untranscribed Data for Speech Recognition in Severely Adverse Environments

Source URL: www.utdallas.edu

• Computational linguistics
• Automatic identification and data capture
• Computer accessibility
• Speech recognition
• Mixture model
• Hidden Markov model
• Speech corpus

AN ADVANCED FEATURE COMPENSATION METHOD EMPLOYING ACOUSTIC MODEL WITH PHONETICALLY CONSTRAINED STRUCTURE Wooil Kim1 and John H. L. Hansen2 1 2

Source URL: www.utdallas.edu

• Machine learning
• Artificial intelligence
• Learning
• Markov models
• Computer accessibility
• Speech recognition
• Mixture model
• Markov chain

arXiv:1503.02531v1 [stat.ML] 9 MarDistilling the Knowledge in a Neural Network Geoffrey Hinton∗ † Google Inc.

Source URL: www.cs.toronto.edu

• Machine learning
• Artificial intelligence
• Computational neuroscience
• Learning
• Artificial neural networks
• Markov models
• Statistical natural language processing
• Ensemble learning
• Language model
• Convolutional neural network
• Speech recognition
• Economic model

Spam Deobfuscation using a Hidden Markov Model Honglak Lee Computer Science Department & Department of Applied Physics Stanford University

Source URL: ceas.cc

The contagious Poisson process is a Markov process which has been used to represent the reinforcement of events. Standard methodsfor estimating and testing this model are shown to be generally inefficient and usually inc

Source URL: statisticalhorizons.com

Discriminative feature selection via multiclass variable memory Markov model

Source URL: bejerano.stanford.edu

Journal of Machine Learning Research–1155 Submitted 4/02; Published 2/03 A Neural Probabilistic Language Model Yoshua Bengio

Source URL: machinelearning.wustl.edu

• Machine learning
• Statistics
• Artificial neural networks
• Artificial intelligence
• Computational neuroscience
• Computational statistics
• Markov models
• Language model
• Mixture model
• Principal component analysis
• Speech recognition
• Recurrent neural network

Baum-WelchImplementation ................

Source URL: genome.sph.umich.edu

• Markov models
• Computer programming
• Computing
• Software
• BaumWelch algorithm
• Hidden Markov model
• Viterbi algorithm
• Forwardbackward algorithm
• Markov chain
• Qt

The Noisy Channel Model and Markov Models Mark Johnson September 3,

Source URL: web.science.mq.edu.au

Hidden Markov Model Analysis of Motifs in Steroid Dehydrogenases and their Homologs William N. Grundy Department of Computer Science and Engineering University of California, San Diego

Source URL: www.sdsc.edu