DocumentCode :
2023551
Title :
A perceptual metric for masking
Author :
Alwan, Abeer
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Volume :
2
fYear :
1993
fDate :
27-30 April 1993
Firstpage :
712
Abstract :
Analytical tools were developed to predict masking of formant frequencies of steady-state vowels in the presence of a noise masker. Two kinds of masking were studied: within-band masking (where the signal frequency was within the bandwidth of a noise masker) and above-band masking (where the signal frequency was above the upper cutoff frequency of the masker). It was found that results of auditory-masking theory can be used to predict accurately within-band masking. Above-band masking, however, could not be predicted well from existing procedures, and an algorithm was developed to predict this kind of masking.<>
Keywords :
filtering and prediction theory; hearing; speech intelligibility; algorithm; auditory-masking theory; formant frequencies; noise masker; perceptual metric; steady-state vowels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.1993.319411
Filename :
319411
Link To Document :
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