Linguistic Knowledge and Empirical Methods in Speech Recognition

Authors

  • Andreas Stolcke

DOI:

https://doi.org/10.1609/aimag.v18i4.1319

Abstract

Automatic speech recognition is one of the fastest growing and commercially most promising applications of natural language technology. The technology has achieved a point where carefully designed systems for suitably constrained applications are a reality. Commercial systems are available today for such tasks as large-vocabulary dictation and voice control of medical equipment. This article reviews how state-of-the-art speech-recognition systems combine statistical modeling, linguistic knowledge, and machine learning to achieve their performance and points out some of the research issues in the field.

Downloads

Published

1997-12-15

How to Cite

Stolcke, A. (1997). Linguistic Knowledge and Empirical Methods in Speech Recognition. AI Magazine, 18(4), 25. https://doi.org/10.1609/aimag.v18i4.1319

Issue

Section

Articles