Fully convolutional networks trained on synthesized subharmonic phonation classify subharmonic period M=1-4 with >98% synthetic accuracy, with qualitative only evidence on real voices.
Microphone and electroglottographic data from dyspho- nic patients: Type 1, 2 and 3 signals,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks
Fully convolutional networks trained on synthesized subharmonic phonation classify subharmonic period M=1-4 with >98% synthetic accuracy, with qualitative only evidence on real voices.