Dear Francesco,
The best place for you to start work on this would be with the
original work on which the Distinctive Region Model is based;
FANT, G. & PAULI, S. (1974) Spatial characteristics of vocal tract
resonance models. Proceedings of the Stockholm Speech Communication
Seminar, KTH, Stockholm, Sweden
and
FANT, G. (1960) Acoustic Theory of Speech Production. Mouton: The
Hague328 pp, (Second Printing 1970)
The first reference is the paper on formant sensitivity analysis, and
the book is the classic text, resulting from Dr. Gunnar Fant's
thesis. I will also forward your enquiry to Dr. Leonard Manzara who
developed the tube model we are actually using, based on the work of
Julius Smith and Perry Cook at the Stanford Center for Computer
Research in Music and Acoustics (CCRMA). He may be able to give you
more specific help.
All good wishes.
david
--------
David Hill, Emeritus Professor,
[email protected]
----------
Our lives begin to end the day we become silent about things that
matter.
(Martin Luther King Jr.)
On Jan 13, 2010, at 10:21 AM, Francesco DEste wrote:
Dear Gnuspeech Contact Mailing List,
I am a student at the Leiden University, currently developing a
thesis in Vocal Tract Area
Function estimation.
I am using the gnuspeech tube waveguide software embedded in an
Multi-Objective optimization software.
The method I implemented uses a MO-Evolutionary algorithm to try to
match
a target sound.
I would like to ask a couple of informations regarding the
Distinctive Region Model
and the sensitivity function calculation.
Given an arbitrary posture, is it possible to calculate its
sensitivity function efficiently?
From what I understood, the table shown in the documentation (R1-R8
against F1-F3)
works only when the tube is on a 'close to straight' configuration.
Since the sensitivity is a function of the volume velocity and
pressure, is there a way
to keep track of this data inside the tube routines?
If it would be possible, I would like to incorporate this knowledge
inside the evolutionary
operators of my system.
Many thanks for the attention,
with kind regards.
Francesco D'Este
Windows Live: Make it easier for your friends to see what you’re up
to on Facebook.
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