Hidden Markov Models for Speech Recognition

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Hidden Markov Models for Speech Recognition

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Hidden-articulator Markov models for speech recognition

In traditional speech recognition using Hidden Markov Models (HMMs), each state represents an acoustic portion of a phoneme. We explore the concept of an articulator based HMM, where each state represents a particular articulatory configuration [Erler 1996]. In this paper, we present a novel articulatory feature mapping and a new technique for model initialization. In addition, we use diphone m...

Improved Hidden Markov Models for Speech Recognition

The basic hidden Markov model used in most statistical approaches to speech recognition needs to be considerably expanded and modified in order to become fully efficient. The purpose of this paper is to describe some of these improvements brought to the original scheme. First, good starting values are needed for the training procedure by which the model parameters are adjusted to their optimal ...