Classifier Combination in Speech Recognition

László Felföldi, András Kocsor, László Tóth

In statistical pattern recognition the principal task is to classify abstract data sets. Instead of using robust but computational expensive algorithms it is possible to combine 'weak' classifiers that can be employed in solving complex classification tasks. In this comparative study we will examine the effectiveness of the commonly used hybrid schemes - especially those used for speech recognition problems - concentrating on cases which employ different combinations of classifiers.