z-logo
open-access-imgOpen Access
Phoneme categorization relying solely on high-frequency energy
Author(s) -
A. Davi Vitela,
Brian B. Monson,
Andrew J. Lotto
Publication year - 2014
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 - 10.1121/1.4903917
Subject(s) - categorization , intelligibility (philosophy) , acoustics , speech recognition , computer science , perception , masking (illustration) , focus (optics) , speech perception , energy (signal processing) , context (archaeology) , mathematics , artificial intelligence , psychology , physics , statistics , epistemology , neuroscience , optics , visual arts , biology , art , paleontology , philosophy
Speech perception studies generally focus on the acoustic information present in the frequency regions below 6 kHz. Recent evidence suggests that there is perceptually relevant information in the higher frequencies, including information affecting speech intelligibility. This experiment examined whether listeners are able to accurately identify a subset of vowels and consonants in CV-context when only high-frequency (above 5 kHz) acoustic information is available (through high-pass filtering and masking of lower frequency energy). The findings reveal that listeners are capable of extracting information from these higher frequency regions to accurately identify certain consonants and vowels.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom