Trispectral Analysis of Voiced Sounds Defective Audition and Tracheotomisian Cases
This paper presents the cepstral and trispectral
analysis of a speech signal produced by normal men, men with
defective audition (deaf, deep deaf) and others affected by
tracheotomy, the trispectral analysis based on parametric methods
(Autoregressive AR) using the fourth order cumulant. These
analyses are used to detect and compare the pitches and the formants
of corresponding voiced sounds (vowel \a\, \i\ and \u\). The first
results appear promising, since- it seems after several experimentsthere
is no deformation of the spectrum as one could have supposed
it at the beginning, however these pathologies influenced the two
characteristics:
The defective audition influences to the formants contrary to the
tracheotomy, which influences the fundamental frequency (pitch).
[1] J. W. A. Fackrell and S. McLaughlin, "H.O.S. of speech signals" IEE
Coll. Tech. In Speech Signal Proc., London, June 1994.
[2] H. P. Rathy, S. Prasad and S. D. Joshi , "Conditions for third order
stationarity and ergodicity of a harmonic random process" IEEE Trans.
On signal Proc., vol. 42, N┬░ 1, pp. 222-224, Jan. 1994.
[3] J. Mendel , "Tutorial on higher- order statistics" Proc. IEEE, vol 79,
N┬░3, pp. 277-303, March 1991.
[4] V. Chandran and S. L. Elgar, " A general procedure for derivation of
principal domains of higher-order spectra", IEEE Trans. On Signal
Proc., vol. 42, N┬░1, pp. 229-233, Jan. 1994.
[5] J. W. A Fackrell etal, "Non linearity detection for condition monitoring
using h.o.s" Internal rep., Dept of Elect. and Elect. Eng., University of
Edimburgh, Scotland, pp. 519-528, July 1996.
[6] J. Markel and A. Gray, « Linear prediction of speech » , Springer-
Verlag, 1976.
[7] Pediatric Otolaryngology: Learning Center - Tracheotomy
http://www.pediatric-ent.com/learning/surgeries/tracheotomy.htm
[1] J. W. A. Fackrell and S. McLaughlin, "H.O.S. of speech signals" IEE
Coll. Tech. In Speech Signal Proc., London, June 1994.
[2] H. P. Rathy, S. Prasad and S. D. Joshi , "Conditions for third order
stationarity and ergodicity of a harmonic random process" IEEE Trans.
On signal Proc., vol. 42, N┬░ 1, pp. 222-224, Jan. 1994.
[3] J. Mendel , "Tutorial on higher- order statistics" Proc. IEEE, vol 79,
N┬░3, pp. 277-303, March 1991.
[4] V. Chandran and S. L. Elgar, " A general procedure for derivation of
principal domains of higher-order spectra", IEEE Trans. On Signal
Proc., vol. 42, N┬░1, pp. 229-233, Jan. 1994.
[5] J. W. A Fackrell etal, "Non linearity detection for condition monitoring
using h.o.s" Internal rep., Dept of Elect. and Elect. Eng., University of
Edimburgh, Scotland, pp. 519-528, July 1996.
[6] J. Markel and A. Gray, « Linear prediction of speech » , Springer-
Verlag, 1976.
[7] Pediatric Otolaryngology: Learning Center - Tracheotomy
http://www.pediatric-ent.com/learning/surgeries/tracheotomy.htm
@article{"International Journal of Electrical, Electronic and Communication Sciences:54399", author = "H. Maalem and F. Marir", title = "Trispectral Analysis of Voiced Sounds Defective Audition and Tracheotomisian Cases", abstract = "This paper presents the cepstral and trispectral
analysis of a speech signal produced by normal men, men with
defective audition (deaf, deep deaf) and others affected by
tracheotomy, the trispectral analysis based on parametric methods
(Autoregressive AR) using the fourth order cumulant. These
analyses are used to detect and compare the pitches and the formants
of corresponding voiced sounds (vowel \a\, \i\ and \u\). The first
results appear promising, since- it seems after several experimentsthere
is no deformation of the spectrum as one could have supposed
it at the beginning, however these pathologies influenced the two
characteristics:
The defective audition influences to the formants contrary to the
tracheotomy, which influences the fundamental frequency (pitch).", keywords = "Cepstrum, cumulant, defective audition,
tracheotomisy, trispectrum.", volume = "1", number = "9", pages = "1308-5", }