©copyright Raimo Olavi Toivonen 19822019. All rights reserved. Last updated on September 15, 2019

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 1985−  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−  Formant charts in Bark, ERB, mel, semitone and Hz scales 1988−  Bark scale 1983−  ERB scale 1996−  Semitone scale 1989−  Sone scale 1995−   Formant charts of world languages in Bark scale 2018−  Loudness scale 1995−  Other links

Works 1972−

ISA software

Auditory spectrograms in dB/Bark/Hz scale on the Intelligent Speech Analyzer ™ (ISA)

Google Scholar "Auditory Spectrogram" "Bark"  until 1987, 2 results.

Google Scholar "Auditory Spectrogram" "Bark"  until 1996, 14 results.

Google Scholar "Auditory Spectrogram" "Bark"  129 results.

Google Scholar "Auditory Spectrogram"  693 results.

Google Images "Auditory Spectrogram" "Bark"  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 36 years used routinely Bark scale and the auditory 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 values are converted to Bark values by the formula Hz->Bark=7asinh(f/650)=7ln(f/650+√(1+(f/650)2)) and Bark values are converted to Hz values by the formula Bark->Hz=650sinh(x/7).

I have used the above Bark conversion formulas since 1983.

SYNTE2 says in Finnish 8.12.1977 "Tämä on ohjelma, joka käsittelee tulevaisuutta".

Auditory spectrogram display in Bark-scale

Auditory spectrogram in Bark/Hz/time scale, formants expressed. The image could be accompanied by measure curves representing changes in the auditory spectrum.

Auditory spectrogram display in Bark-scale

Auditory spectrogram in Bark/Hz/time scale, formants expressed. The image could be accompanied by measure curves representing changes in the auditory spectrum.

Auditory spectrogram display with segment lines in Bark-scale

Auditory spectrogram in Bark/Hz/time scale, formants expressed. The image could be accompanied by measure curves representing changes in the auditory spectrum.

Final report of the basic 4 years research project "Auditory modelling of speech perception" 1983–1986 at Acoustics Laboratory May 1987. 110 pages. ISBN 951-754-154-6.