|ęcopyright Raimo Olavi Toivonen 1982-2023. All rights reserved. Last updated on Jan 10, 2023.|
|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
Google "Auditorinen spektri" 8 results.
Google "Auditorinen" 736 results.Google Scholar "Auditorinen" until 1983, 1 results.
Google Scholar "Auditory Spectrum" until 1983, 162 results.Google Scholar "Auditory" until 1983, many results.
Google "Auditory" many results. Google Images "Auditory spectrum" 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 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
(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.