Google Scholar "Auditory Spectrogram" "Bark"  until 1987, 4 results.

Google Scholar "Auditory Spectrogram" "Bark"  until 1996, 20 results.

Google Scholar "Auditory Spectrogram" "Bark"  149 results.

Google Scholar "Auditory Spectrogram"  898 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 40 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.