DocumentCode :
2500028
Title :
Auditory Model of Intensity Discrimination and Vowel Formant Discrimination: Effect of Signal Frequency
Author :
Liu, Chang
Author_Institution :
Dept. of Commun. Sci. & Disorders, Univ. of Texas at Austin, Austin, TX, USA
fYear :
2009
fDate :
11-13 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
An auditory model, excitation-pattern model, was used in the present study to interpret the effects of signal frequency on intensity discrimination of tonal signals and vowel formant frequency discrimination. Excitation patterns were computed for standard and intensity-changed tones and for standard and formant-shifted vowels. Simulation models based on these excitation patterns were used to predict thresholds of intensity discrimination and thresholds of vowel formant discrimination for F1 and F2 frequency of four American English vowels. Predicted thresholds showed high correlations and low root-mean-square errors with thresholds measured from human listeners for an auditory metric calculating the excitation level near the target formant. Results indicated that normal-hearing listeners needed a relatively constant change in the internal representation of signals, e.g. excitation patterns, near the signal/formant frequency to discriminate changes in tonal intensity and vowel formant frequency, independent of signal frequency. In addition, the excitation-pattern model may be used more broadly to explain discrimination of acoustic signals in a variety of listening conditions.
Keywords :
hearing; linguistics; physiological models; American English vowel; acoustic signal discrimination; auditory model; excitation-pattern model; intensity tonal signal discrimination; root-mean-square error; signal frequency; signal representation; vowel formant frequency discrimination; Acoustic signal detection; Anthropometry; Auditory system; Computational modeling; Frequency measurement; Humans; Predictive models; Resonance; Speech enhancement; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
Type :
conf
DOI :
10.1109/ICBBE.2009.5162425
Filename :
5162425
Link To Document :
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