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What is Natural Statistical Models for ASR about?

This document summarizes a thesis about developing new statistical models for automatic speech recognition that better capture the natural statistical properties of speech. The thesis begins by introducing hidden Markov models (HMMs), which are commonly used for speech recognition but make assumptions that can reduce accuracy. It then presents a new method called buried Markov models (BMMs) that start with an HMM and add dependencies between variables based on conditional mutual information to better approx

Author

sdede

Language

EN