Spectral modelling synthesis

Spectral modelling synthesis

Spectral Modeling Synthesis or simply SMS is an Acousic modeling approach for speech and other signals.

SMS considers sounds as a combination of harmonic content and noise content. Harmonic components are identified based on peaks in the frequency spectrum of the signal, normally as found by the short-time Fourier transform. The signal that remains following removal of the spectral components, sometimes referred to as the residual, is then modeled as white noise passed through a time-varying filter. The output of the model, then, are the frequencies and levels of the detected harmonic components and the coefficients of the time-varying filter.

Intuitively, the model can be applied to many types of audio signals. Speech signals, for example, include slowly-changing harmonic sounds caused by vibration of the vocal cords plus wideband, noise-like sounds caused by the lips and mouth. Musical instruments also produce sounds containing both harmonic componenents and percussive, noise-like sounds when the notes are struck or changed.

See also

* Speech coding
* CELP
* Source-filter model of speech production
* Frequency_modulation_synthesis

References

cite web
url=http://www.iua.upf.es/~xserra/presentacions/ Spectral-Modeling-Synthesis-Past-and-Present.pdf
title= Spectral Modeling Synthesis: Past and Present
accessdate=
accessdaymonth=
accessmonthday=April 19
accessyear=2008
author= Xavier Serra
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date=
year= 2003
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format= PDF
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pages= 20
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cite web
url=http://www.iua.upf.es/~sms/
title= Spectral Modeling Synthesis Homepage
accessdate=
accessdaymonth=
accessmonthday=April 19
accessyear=2008
author= Xavier Serra
last=
first=
authorlink=
coauthors=
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format= HTML
work=
publisher=
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cite web
url=http://ccrma.stanford.edu/~jos/jnmr/Spectral_Modeling.html
title= Spectral Modeling
accessdate=
accessdaymonth=
accessmonthday=April 19
accessyear=2008
author= Julius O. Smith III
last=
first=
authorlink=
coauthors=
date= 28
year=2005
month= 12
format= HTML
work=
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pages=
language=
doi=
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