The clinical assessment of speech discrimination by professional audiologists is resource intensive. Yet discrepancies in language or dialect between the test subject and the audiologist may cause a significant bias in the test result. To address these issues, a speech audiometric test (SAT) has been designed to be language/dialect independent and to allow automated scoring by means of an MFCCbased Dynamic Time Warping alignment measure. A Pearson correlation of 0.83 was found between the automatic scores and human phoneme scoring. Normative data were obtained and compared to conventional SATs which revealed differences in speech reception thresholds within 2 dB.
Bibliographic reference. Vaerenberg, Bart / Bosch, Louis ten / Kowalczyk, Wojtek / Coene, Martine / Smet, Herwig De / Govaerts, Paul J. (2013): "Language-universal speech audiometry with automated scoring", In INTERSPEECH-2013, 3608-3612.