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Author Benahmed, Y. ♦ Selouani, S.-A. ♦ Hamam, H. ♦ O'Shaughnessy, D.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2007
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Engineering & allied operations
Subject Keyword Uniform resource locators ♦ Vocabulary ♦ Dictionaries ♦ Laboratories ♦ Natural languages ♦ Web pages ♦ Speech recognition ♦ Speech synthesis ♦ Engines ♦ Automatic speech recognition
Abstract This paper presents an automatic user profile building and training (AUPB&T) system for speech recognition. This system uses text-to-speech (TTS) voices to improve the language models and the performance of current commercial automatic speech recognition (ASR) engines. The vocabularies of these systems are usually suited for general usage. Users have no easy means of training these engines. They generally shun the proposed training methods that require long and picky training sessions. Our proposed solution is a system that accepts the user documents and favorite Web pages, and feeds them to a (TTS) module in order to improve the accuracy of spoken information retrieval queries. The results show that AUPB&T considerably improves the recognition engine performance of the Microsoft speech recognition system without having to resort to manual training.
Description Author affiliation: Univ. de Moncton, Moncton (Benahmed, Y.; Selouani, S.-A.)
ISBN 9781424418404
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2007-11-18
Publisher Place Dubai
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 2.62 MB
Page Count 5
Starting Page 302
Ending Page 306

Source: IEEE Xplore Digital Library