TriangularBarkBands¶

streaming mode | Spectral category

Inputs¶

spectrum (vector_real) - the audio spectrum

Outputs¶

bands (vector_real) - the energy in bark bands

Parameters¶

highFrequencyBound (real ∈ [0, ∞), default = 22050) :
an upper-bound limit for the frequencies to be included in the bands

inputSize (integer ∈ (1, ∞), default = 1025) :
the size of the spectrum

log (bool ∈ {true, false}, default = false) :
compute log-energies (log2 (1 + energy))

lowFrequencyBound (real ∈ [0, ∞), default = 0) :
a lower-bound limit for the frequencies to be included in the bands

normalize (string ∈ {unit_sum, unit_max}, default = unit_sum) :
‘unit_max’ makes the vertex of all the triangles equal to 1, ‘unit_sum’ makes the area of all the triangles equal to 1

numberBands (integer ∈ (1, ∞), default = 24) :
the number of output bands

sampleRate (real ∈ (0, ∞), default = 44100) :
the sample rate

type (string ∈ {magnitude, power}, default = power) :
‘power’ to output squared units, ‘magnitude’ to keep it as the input

weighting (string ∈ {warping, linear}, default = warping) :
type of weighting function for determining triangle area

Description¶

This algorithm computes energy in the bark bands of a spectrum. It is different to the regular BarkBands algorithm in that is more configurable so that it can be used in the BFCC algorithm to produce output similar to Rastamat (http://www.ee.columbia.edu/ln/rosa/matlab/rastamat/) See the BFCC algorithm documentation for more information as to why you might want to choose this over Mel frequency analysis It is recommended that the input “spectrum” be calculated by the Spectrum algorithm.

Source code¶

C++ source code

C++ header file