apollon.signal.critical_bands module

apollon.signal.critical_bands.filter_bank(frqs: numpy.ndarray) → numpy.ndarray

Return a critical band rate scaled filter bank.

Each filter is triangular, which lower and upper cuttoff frequencies set to lower and upper bound of the given critical band rate.

Parameters

frqs – Frequency axis in Hz.

Returns

Bark scaled filter bank.

apollon.signal.critical_bands.frq2cbr(frq: numpy.ndarray) → numpy.ndarray

Transform frquencies in Hz to critical band rates in Bark.

Parameters

Frequency in Hz. (frq) –

Returns

Critical band rate.

apollon.signal.critical_bands.level(cbi: numpy.ndarray)

Compute the critical band level L_G from critical band intensities I_G.

Parameters

cbi – Critical band intensities.

Returns

Critical band levels.

apollon.signal.critical_bands.sharpness(cbr_spctrm: numpy.ndarray) → numpy.ndarray

Calculate a measure for the perception of auditory sharpness from a spectrogram of critical band levels.

Parameters

cbr_spctrm (ndarray) –

Returns

(ndarray) Sharpness for each time instant of the cbr_spctrm

apollon.signal.critical_bands.specific_loudness(cbr: numpy.ndarray)

Compute the specific loudness of a critical band rate spectra.

The specific loudness is the loudness per critical band rate. The spectra should be scaled in critical band levels.

Parameters

cbr – Critical band rate spectrum.

Returns

Specific loudness.

apollon.signal.critical_bands.total_loudness(cbr: numpy.ndarray) → numpy.ndarray

Compute the totals loudness of critical band rate spectra.

The total loudness is the sum of the specific loudnesses. The spectra should be scaled to critical band levels.

Parameters

cbr_spctr (ndarray) –

Returns

(ndarray) Total loudness.

apollon.signal.critical_bands.weight_factor(z)

Return weighting factor per critical band rate for sharpness calculation.

This is an improved version of Peeters (2004), section 8.1.3.

Parameters

z – Critical band rate.

Returns

Weighting factor.