Patent Document ID: 5581655
Application ID: 08589432

Base Claim:
1. A method for estimating pronunciation probabilities in word pronunciation networks that incorporate dialectal variations in pronunciation for use in a speech recognition system wherein said word networks comprise a plurality of nodes, each node connected to its successive node by one or more arcs, each arc having associated with it a phone and a numerical variable for storing the pronunciation probability that arc is taken comprising the steps of: determining equivalence classes for a plurality of nodes in the word pronunciation networks by: if context with surrounding nodes is not relevant phone choice at a node, classifying that node with nodes having similar phone choices into the same equivalence class; and if context with surrounding nodes is important in determining phone choice at a node, classifying that node in an equivalence class with similar nodes having similar phone choices and sharing identical relevant contextual constraints, such that all nodes in the same equivalence class may share training samples for estimating pronunciation probabilities; and using a set of training samples to estimate the pronunciation probabilities in the word pronunciation network such that training samples for a given word will contribute to the training of networks for all other words that have any nodes in an equivalence class with any of the nodes of that word.

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Claim 2:
2. The method according to claim 1, wherein said arcs in said word networks are brought into existence by applying a set of phonological rules to a set of baseform word models and wherein context with surrounding nodes is considered important and nodes are placed in the same equivalence class if and only if there is a one-to-one correspondence between phones of outgoing arcs; and there is a one-to-one correspondence between sets of phonological rules responsible for bringing each of said outgoing arcs into existence.