# Mixture autoregressive hidden Markov models for speech signals

@article{Juang1985MixtureAH, title={Mixture autoregressive hidden Markov models for speech signals}, author={B. Juang and L. Rabiner}, journal={IEEE Trans. Acoust. Speech Signal Process.}, year={1985}, volume={33}, pages={1404-1413} }

In this paper a signal modeling technique based upon finite mixture autoregressive probabilistic functions of Markov chains is developed and applied to the problem of speech recognition, particularly speaker-independent recognition of isolated digits. Two types of mixture probability densities are investigated: finite mixtures of Gaussian autoregressive densities (GAM) and nearest-neighbor partitioned finite mixtures of Gaussian autoregressive densities (PGAM). In the former (GAM), the… Expand

#### 327 Citations

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