Auditory spectrum computation begins with FFT then emulates hearing sensitivity via filtering and weighting.

Evidence

The input signal is first divided into, say, 25-ms-long time frames that are then multiplied by a suitable window function, like a Hamming window. Thereafter, a short-term power spectrum is computed for each time frame using the DFT, which is implemented using the fast Fourier transform (FFT). This processing does not reflect the frequency-dependent sensitivity of hearing. In practice, the sensitivity can be emulated at any stage of the computation, but conceptually, it should be emulated at the beginning by filtering the input signal. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1586

Categorization

• XREF: connects to: Hearing sensitivity to frequency can be emulated by filtering and weighting short-time power spectra — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1586; Hearing’s salient spectral features can be matched by adjustable Fourier analysis — Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 2020; The peripheral hearing system acts as a quantitative spectral analyser (+1 more)

Broader Connections

• Hearing sensitivity to frequency can be emulated by filtering and weighting short-time power spectra #corroborates (0.95) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1586
• Hearing’s salient spectral features can be matched by adjustable Fourier analysis #expands (0.75) — Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 2020
• The peripheral hearing system acts as a quantitative spectral analyser #exemplifies (0.72)
• Frequency-domain analysis mirrors how the human ear processes sound #corroborates (0.72) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 377