Lexical Modeling in a Speaker Independent Speech Understanding System (1993)
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@INPROCEEDINGS{Wooters93lexicalmodeling,
author = {Charles Clayton Wooters},
title = {Lexical Modeling in a Speaker Independent Speech Understanding System},
booktitle = {},
year = {1993},
pages = {1363--1366}
}
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Abstract
Over the past 40 years, significant progress has been made in the fields of speech recognition and speech understanding. Current state-of-the-art speech recognition systems are capable of achieving word-level accuracies of 90 % to 95 % on continuous speech recognition tasks using 5000 words. Even larger systems, capable of recognizing 20,000 words are just now being developed. Speech understanding systems have recently been developed that perform fairly well within a restricted domain. While the size and performance of modern speech recognition and understanding systems are impressive, it is evident to anyone who has used these systems that the technology is primitive compared to our own human ability to understand speech. Some of the difficulties hampering progress in the fields of speech recognition and understanding stem from the many sources of variation that occur during human communication. One of the sources of variation that occurs in human communication is the different ways that words can be pronounced. There are many causes of pronunciation variation, such as: the phonetic environment in which the word occurs, the dialect of the speaker,
