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A comparison of spectral estimation methods for the analysis of sibilant fricatives
Author(s) -
Patrick Reidy
Publication year - 2015
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 - 10.1121/1.4915064
Subject(s) - estimator , feature (linguistics) , estimation , variance (accounting) , spectral density estimation , mathematics , centroid , pattern recognition (psychology) , spectral analysis , computer science , minimum variance unbiased estimator , statistics , speech recognition , artificial intelligence , linguistics , physics , mathematical analysis , fourier transform , spectroscopy , philosophy , business , management , accounting , quantum mechanics , economics
It has been argued that, to ensure accurate spectral feature estimates for sibilants, the spectral estimation method should include a low-variance spectral estimator; however, no empirical evaluation of estimation methods in terms of feature estimates has been given. The spectra of /s/ and /ʃ/ were estimated with different methods that varied the pre-emphasis filter and estimator. These methods were evaluated in terms of effects on two features (centroid and degree of sibilance) and on the detection of four linguistic contrasts within these features. Estimation method affected the spectral features but none of the tested linguistic contrasts.

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