©copyright Raimo Olavi Toivonen 1982-2023.
All rights reserved. Last updated on Jan 8, 2023.
|
Google Scholar "Timbre Spectrum" until 1983, 17 results.
Google Scholar "Timbre Spectrum" 982 results.
Google Images "Timbre spectrum" many results.
Psychoacoustic links to "en.wikipedia.org/wiki": Psychoacoustics
Auditory
Auditive
Auditory phonetics
Auditory system anatomy
Sone scale
Phon scale
Loudness
Equal-loudness contours
Fletcher-Munson curves
Bark scale
Critical bands
Auditory Filters
ERB scale (Equivalent rectangular bandwidth)
Mel scale
Semitone scale
Hertz scale
Sound pressure
SPL (Sound pressure level)
Stevens's power law
Stanley Smith Stevens
Harvey Fletcher
Karl Eberhard Zwicker The terms "auditory" and "auditive" are different concepts. ISA expressly uses the term "auditory".
I am
already
40 years used routinely
Bark scale and the
auritory
filter bank model since my Otaniemi year
1983. I developed our own auditory filter bank model together with
professor Matti Karjalainen.
Over the years, I
have coded
as a
DSP man
auditory filter bank model completely from zero
Calculations of Toivonen's and Karjalainen's auditory timbre spectra 1983 in
the Acoustics Laboratory in the Academy of Finland's "Modeling Speech
Hearing" project 1983-87. At the top, the timbre spectrum is generated
when a cepstrum is calculated from the signal of each Bark channel in the
auditory filter bank and the
cepstrum peak is selected as the Bark channel
sound value. Lower, the
cepstrums calculated from the signals of the
auditory filter bank channels.
Since these experiments, a lot of scientific publications have been made in
the Acoustics Laboratory concerning the detection of several simultaneous
fundamental frequencies by means of an auditory filter bank.
Sharp peaks
observed in the averaged
cepstrum.
Final
report of the basic 4 years research project "Auditory
modelling of speech perception" 1983-86 at
Acoustics
Laboratory
May 1987. 110 pages. ISBN 951-754-154-6.
(1)
for "PDP-11/34
Floating Point Systems FPS 100 Vector Processor" in
Fortran,
(2) for the
Texas 16-bit
TMS320 signal processor family in machine language,
(3)
for
Motorola's 16 and 32-bit
M68000 microprocessor families in machine language and
C language,
(4)
for
IBM 600 Series 32-bit
PowerPC Microprocessor Family in machine language and
C language,
(5)
for
Intel 32-bit and 64-bit microprocessor families in
C++ language.
Loudness formula is N=2(L-40)/10.
Unit of loudness is Sone. L is
sound volume level dBSPL of sine sound.
Hz is converted to Bark by the
formula x/Bark=7ln[f/650+√(1+(f/650)2)] and Barks are
converted to Hz by the formula f/Hz=650sinh(x/7).
I have
used the above Bark conversion formulas since 1983.
SYNTE2 said 45 years ago 1977, "Tämä on ohjelma, joka käsittelee tulevaisuutta"
(This is a program about the future). The loudness values for the named segments on the sone scale are "Tämä" 31, 48, 33, 46, "on" 53, 32, "ohjelma" 46, 28, 40, 55, 56, 34, 49, "joka" 34, 54, 20, 58, "käsittelee" 44, 62, 60, 55, 16, 56, 61, 57, "tulevaisuutta"
20, 44, 47, 52, 27, 57, 54, 60, 13, 62.
Calculations
of Toivonen's and Karjalainen's auditory timbre spectra 1983
in the Acoustics Laboratory in the Academy of Finland's
"Modeling Speech Hearing" project 1983-87. Since these
experiments, a lot of scientific publications have been made
in the Acoustics Laboratory concerning the detection of
several simultaneous fundamental frequencies by means of an
auditory filter bank.