DocumentCode :
1331013
Title :
Noise source models for fricative consonants
Author :
Narayanan, Shrikanth ; Alwan, Abeer
Author_Institution :
AT&T Labs.-Res., Florham Park, NJ, USA
Volume :
8
Issue :
3
fYear :
2000
fDate :
5/1/2000 12:00:00 AM
Firstpage :
328
Lastpage :
344
Abstract :
Hybrid source models for fricative consonants are derived based on aeroacoustic principles of sound generation employing vocal tract area functions obtained from magnetic resonance imaging data of voiced and unvoiced English fricatives. Results based on data from a male and a female subject indicate that a linear source-filter model is fairly adequate for capturing essential spectral characteristics of sustained voiced and unvoiced strident fricatives below 10 kHz. The hybrid source models employ a combination of acoustic monopole and distributed dipole sources, and a voice source in the case of the voiced fricatives. The number of sources, source locations, and spectral characteristics and the relative source levels are chosen based on an analysis-by-synthesis approach and are motivated by aeroacoustic theory of speech production. The resulting model is computationally efficient and can be readily used for synthesis
Keywords :
acoustic noise; acoustic signal processing; aeroacoustics; filtering theory; magnetic resonance imaging; spectral analysis; speech processing; speech synthesis; acoustic monopole source; aeroacoustic principles; analysis-by-synthesis approach; articulatory to acoustic mapping; computationally efficient model; distributed dipole source; female subject; fricative consonants; hybrid source models; linear source-filter model; magnetic resonance imaging data; male subject; noise source models; sound generation; source levels; source locations; spectral characteristics; speech production; unvoiced English fricatives; vocal tract area functions; voiced English fricatives; Acoustic noise; Acoustic propagation; Geometry; Magnetic analysis; Magnetic noise; Magnetic resonance; Magnetic resonance imaging; Position measurement; Speech analysis; Speech synthesis;
fLanguage :
English
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6676
Type :
jour
DOI :
10.1109/89.841215
Filename :
841215
Link To Document :
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