BUILDING A LVCSR SYSTEM FOR ROMANIAN: METHODS AND CHALLENGES

Abstract

The aim of this paper is to present a brief survey in the field of Automatic Speech Recognition (ASR) and major advances made in the last decades of research in order to highlight the fundamental progress that has been made so far. After years of development, the accuracy of Large Vocabulary Continuous Speech Recognition (LVCSR) systems remains the most important research challenge due to several degrading factors such as variations of the context, speakers, and environment. Various methods adopted by research workers when building Large Vocabulary Speech Recognition systems are presented based on the architectural components of such systems. Challenges existing in LVCSR for Romanian language and various techniques to deal these challenges have been presented in chronological order.

Keywords

• large vocabulary continuous speech recognition
• feature extraction
• acoustic modelling
• language model
• hidden markov model
• speaker adaptation