Quality control of automatic labelling using HMM-based synthesis

Sathish Chandra Pammi, Marcela Charfuelan Oliva, Marc Schröder

In: 2009 IEEE International Conference on Acoustics, Speech, and Signal - Proceedings. International Conference on Acoustics, Speech and Signal Processing (ICASSP-2009) April 19-24 Taipei Taiwan Seiten 4277-4280 ISBN 978-1-4244-2354-5 IEEE 4/2009.


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.


qualityControl.pdf (pdf, 133 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence