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Author Young, Steve
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Hmms Related Speech Recognition Technology ♦ Several Decade ♦ Inherent Assumption ♦ Steady Progress ♦ Present Day Continuous Speech Recognition ♦ Core Architecture ♦ Modernday System ♦ Hidden Markov Model ♦ Specific Application ♦ Hmm-based Csr ♦ Hmm-based Csr System ♦ Major Area
Abstract Almost all present day continuous speech recognition (CSR) systems are based on Hidden Markov Models (HMMs). Although the fundamentals of HMM-based CSR have been understood for several decades, there has been steady progress in refining the technology both in terms of reducing the impact of the inherent assumptions, and in adapting the models for specific applications and environments. The aim of this chapter is to review the core architecture of a HMM-based CSR system and then outline the major areas of refinement incorporated into modernday systems.
Description SPRINGER HANDBOOK ON SPEECH PROCESSING AND SPEECH COMMUNICATION 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article