Open AccessIdentifying the Russian voiceless non-palatalized fricatives /f/, /s/, and /ʃ/ from acoustic cues using machine learning
Author(s) -
Natalja Ulrich,
Marc AllassonnièreTang,
François Pellegrino,
Dan Dediu
Publication year - 2021
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 - 10.1121/10.0005950
Subject(s) - mel frequency cepstrum , support vector machine , speech recognition , noise (video) , computer science , variation (astronomy) , duration (music) , pattern recognition (psychology) , set (abstract data type) , random forest , artificial intelligence , feature extraction , acoustics , physics , astrophysics , image (mathematics) , programming language
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