Quality control of automatic labelling using HMM-based synthesis

This paper presents a measure to verify the quality of automatically aligned phone labels. The measure is based on a similarity cost between automatically generated phonetic segments and phonetic segments generated by an HMM-based synthesiser. We investigate the effectiveness of the measure for identifying problems of three types: alignment errors, phone identity problems and noise insertion. Our experiments show that the measure is best at finding noise errors, followed by phone identity mismatches and serious misalignments.