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Context-Dependent Phoneme Modeling in Speech Processing

This document explores the concept of context-dependent modeling of phonemes in speech processing. Each phoneme can be represented in one, two, or three parts, exemplified by analyzing the word "lines" modeled as four phonemes: /l/, /aI/, /n/, /z/. The paper examines how /l/ and /n/ are modeled with two parts, /aI/ with three parts, and /z/ with one part. The context influences the phoneme model, showcasing different models based on surrounding phonemes. It highlights the necessity for context sensitivity to improve speech recognition accuracy.

gloria-barron
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Context-Dependent Phoneme Modeling in Speech Processing

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  1. Context-Dependent Modeling Each phoneme divided into one, two, or three parts (or states) Example: word “lines”, modeled with four phonemes: /l aI n z/, where /l/ and /n/ modeled with 2 parts, /aI/ modeled with 3 parts, and /z/ modeled with 1 part $sil<l l>$bck_r $lat<aI <aI> aI>$alv $fnt_l<n n>$alv <z> /aI/ model in context of preceeding lateral (/l/) and following alveolar (/n/) previous phoneme cluster next phoneme cluster current phoneme $sil $fnt_l $bck_l $lab $alv $vel $lat $ret $sil $fnt_r $bck_r $lab $alv $vel $lat $ret /aI/ left /aI/ middle /aI/ right /aI/ has 17 possible context-dependent models (8 in left context, one context-independent (middle), and 8 in right context)

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