Discovery and Segmentation of Activities in Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Hidden Markov Model-Based Approach to Sequential Data Clustering
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
A sequential pruning strategy for the selection of the number of states in hidden Markov models
Pattern Recognition Letters
A unified framework for model-based clustering
The Journal of Machine Learning Research
Pattern Discovery on Australian Medical Claims Data-A Systematic Approach
IEEE Transactions on Knowledge and Data Engineering
Discriminative semi-parametric trajectory model for speech recognition
Computer Speech and Language
Introduction to digital speech processing
Foundations and Trends in Signal Processing
The application of hidden Markov models in speech recognition
Foundations and Trends in Signal Processing
Internet traffic modeling by means of Hidden Markov Models
Computer Networks: The International Journal of Computer and Telecommunications Networking
Continuous speech recognition with sparse coding
Computer Speech and Language
Computational method for segmentation and classification of ingestive sounds in sheep
Computers and Electronics in Agriculture
Learning topological maps with weak local odometric information
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
International Journal of Robotics Research
A model-based connected-digit recognition system using either hidden Markov models or templates
Computer Speech and Language
Incremental learning of statistical motion patterns with growing hidden Markov models
IEEE Transactions on Intelligent Transportation Systems
Hidden Markov models with factored Gaussian mixtures densities
Pattern Recognition
Additive and nonadditive fuzzy hidden Markov models
IEEE Transactions on Fuzzy Systems
Gesture interaction for small handheld devices to support multimedia applications
Journal of Mobile Multimedia
A survey of techniques for incremental learning of HMM parameters
Information Sciences: an International Journal
Rule-based trajectory segmentation for modeling hand motion trajectory
Pattern Recognition
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
Hi-index | 754.84 |
To use probabilistic functions of a Markov chain to model certain parameterizations of the speech signal, we extend an estimation technique of Liporace to the eases of multivariate mixtures, such as Gaussian sums, and products of mixtures. We also show how these problems relate to Liporace's original framework.