This work is a preliminary investigation of large scale modeling techniques to be applied to large vocabulary continuous speech recognition. Published in: 2004 ...
A standard approach to automatic speech recognition uses hidden Markov models whose state dependent distributions are Gaussian mixture models. Each Gaussian can ...
This work is a preliminary investigation of large scale modeling techniques to be applied to large vocabulary continuous speech recognition. COMBINATION OF ...
This work is a preliminary investigation of large scale model- ing techniques to be applied to large vocabulary continuous speech recognition. 1. INTRODUCTION.
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A unified theoretical view of the Dynamic Time Warping (DTW) and the Hidden Markov Model (HMM) techniques for speech recognition problems is given and ...
The Lincoln robust hidden Markov model speech recognizer currently provides state- of-the-art performance for both speaker-dependent and speaker-independent ...
Hidden Markov Models (HMMs) provide a simple and effective frame- work for modelling time-varying spectral vector sequences. As a con- sequence, almost all ...
A method and system that combines voice recognition engines and resolves differences between the results of individual voice recognition engines using a ...
Dynamic time warping (DTW) is a well-known technique to find an optimal alignment between two given (time-dependent) sequences under certain restrictions ...
In this paper, we present a new hybrid approach for isolated spoken word recognition using Hidden. Markov Model models (HMM) combined with Dynamic time ...