The aim of this work was to propose Acoustic Parameters (APs) for the automatic detection of vowel nasalization based on prior knowledge of the acoustics of nasalized vowels. Nine automatically extractable APs were proposed to capture the most important acoustic correlates of vowel nasalization (extra pole-zero pairs, F1 amplitude reduction, F1 bandwidth increase and spectral flattening). The performance of these APs was tested on several databases with different sampling rates and recording conditions. Accuracies of 96.28%, 77.90% and 69.58% were obtained by using these APs on StoryDB, TIMIT and WS96/97 databases, respectively, in a Support Vector Machine classifier framework. To our knowledge these results are the best anyone has achieved on this task.
Bibliographic reference. Pruthi, Tarun / Espy-Wilson, Carol Y. (2007): "Acoustic parameters for the automatic detection of vowel nasalization", In INTERSPEECH-2007, 1925-1928.