Open AccessHighly spectrally undersampled vowels can be classified by machines without supervision
Author(s) -
Thayabaran Kathiresan,
Dieter Maurer,
Volker Dellwo
Publication year - 2019
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.5111154
Subject(s) - computer science , acoustics , speech recognition , physics
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