The study aims to objectively detect diplophonia, a voice disorder caused by two distinct oscillators, by using a new audio signal processing algorithm and comparing its effectiveness with the existing clinical standard called degree of subharmonics (DSH).
Involving 50 dysphonic subjects with and without diplophonia and 30 subjects with normal voice, the study analyzed 185 phonation recordings to create a "Diplophonia Diagram" that helps distinguish between diplophonic and nondiplophonic voice qualities.
Results show that the new detection method using the Diplophonia Diagram is significantly more effective than DSH, indicating better diagnostic accuracy and suggesting it should be considered in future clinical assessments and research