On the Adaptation of Foreign Language Speech Recognition Engines for Lithuanian Speech Recognition

Abstract

This paper presents some of our activities trying to adapt the foreign language based speech recognition engines for the recognition of the Lithuanian speech commands. In recent years several quiet successful speech recognition engines became available for the most popular languages (such as English, French, Spanish, German, etc.). The speakers of a less widely used languages (such as Lithuanian) have several choices: to develop own speech recognition engines or to try adapting speech recognition models developed and trained for the foreign languages to the task of recognition of their native spoken language. First approach is expensive in time, financial and human resources sense. Second approach can lead to faster implementation of Lithuanian speech recognition modules into some practical tasks but proper adaptation and optimization procedures should be found and investigated.