Accent Identification by Clustering and Scoring Formants
There have been significant improvements in automatic voice recognition technology. However, existing systems still face difficulties, particularly when used by non-native speakers with accents. In this paper, the authors address a problem of identifying the English accented speech of speakers from different backgrounds. Once an accent is identified the speech recognition software can utilise training set from appropriate accent and therefore improve the efficiency and accuracy of the speech recognition system. They introduced the Q factor, which is defined by the sum of relationships between frequencies of the formants.