ęcopyright Raimo Olavi Toivonen 1982-2021. All rights reserved. Last updated on Jan 30, 2021.

Home   Signal displays 1985-  Multi-envelope displays 1998-  FFT displays 1985-  Cepstrum displays 1983-  Loudness displays 1995-  Loudness curves 1998-  Timbre spectrum 1983-  LPC displays 1992-  Auditory displays 1983-   LTAS displays 1982-  Harmonic FFT displays 1989-  Waterfall displays 1983-  F0 displays 1983-  F0 histograms in semitone scale 1989-  Jitter/shimmer 1990-  Computer Voice Fields 1983-  FFT spectrogram displays 1985-  LPC spectrogram displays 1998-  Auditory spectrogram displays 1985-  Formant charts in Bark, ERB, mel, semitone and Hz scales 1988-   Synte 2 demo video speech on 8.8.1977 analyzed 2018-  Formant charts of world languages in Bark scale 2018-   Other links

Works   Works before ISA


ISA software

Auditory spectra in dB/Bark/Hz scale

Google "Auditorinen spektri"  9 results.

Google "Auditorinen"  980 results.

Google Scholar "Auditorinen"  until 1983, 0 results.

Google Scholar "Auditorinen"  86 results.

Google Scholar "Auditory Spectrum"  until 1983, 152 results.

Google Scholar "Auditory"  until 1983, many results.

Google "Auditory"  many results.

Google Images "Auditory 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 38 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
(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.

Analysis pictures I have coded from the very beginning in Neon object-oriented programming language.

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.

The auditory spectrum of the vowel a: F1, F2, F3, F4+F5

 The auditory spectrum of the vowel e: F1, F2, F3, F4+F5

 The auditory spectrum of the vowel i: F1, F2, F3, F4+F5

The auditory spectrum of the vowel o: F1, F2, F3, F4+F5

The auditory spectrum of the vowel u: F1, F2, F3, F4+F5

The auditory spectrum of the vowel y: F1, F2, F3, F4, F5

The auditory spectrum of the vowel ń: F1, F2, F3, F4, F5

The auditory spectrum of the vowel ÷: F1, F2, F3, F4, F5


1000 Hz sinusoidal signal spectrum in dB/Bark/Hz scale.

 

Toivonen's and Karjalainen's first auditory spectral series on diphthongs in the Otaniemi Acoustics Laboratory in Academy of Finland project Puheen kuulemisen mallintaminen (Auditory modelling of speech perception). After these 1983 experiments, the Acoustics Laboratory has done a lot of scientific publications with auditory filter banks.

 



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.