Training of a Hidden Markov Model using training data vectors and a nearest neighbor clustering method based on condition parameters used to describe the Hidden Markov Model

摘要

Method for computer-based training of a Hidden Markov Model (HMM) in which condition parameters are formed with which the HMM can be described, training data vectors are used to carry out a k-nearest neighbor clustering method based on the condition parameters, whereby the condition parameters are matched to the training data vectors, so that a trained HMM is formed. Independent claims are also included for the following:- (a) a device for training an HMM; (b) a computer program element for use on a computer for training an HMM and; (c) a computer readable storage medium for storing a computer program for training an HMM.