def spr_model_anal(x, fs, w, N, H, t, minSineDur, maxnSines, freqDevOffset, freqDevSlope):
"""
Analysis of a sound using the sinusoidal plus residual model
x: input sound, fs: sampling rate, w: analysis window; N: FFT size, t: threshold in negative dB,
minSineDur: minimum duration of sinusoidal tracks
maxnSines: maximum number of parallel sinusoids
freqDevOffset: frequency deviation allowed in the sinusoids from frame to frame at frequency 0
freqDevSlope: slope of the frequency deviation, higher frequencies have bigger deviation
returns hfreq, hmag, hphase: harmonic frequencies, magnitude and phases; xr: residual signal
"""
# perform sinusoidal analysis
tfreq, tmag, tphase = sineModel.sine_model_anal(x, fs, w, N, H, t, maxnSines, minSineDur, freqDevOffset, freqDevSlope)
Ns = 512
xr = utilFunctions.sineSubtraction(x, Ns, H, tfreq, tmag, tphase, fs) # subtract sinusoids from original sound
return tfreq, tmag, tphase, xr
def sps_model_anal(x, fs, w, N, H, t, minSineDur, maxnSines, freqDevOffset, freqDevSlope, stocf):
"""
Analysis of a sound using the sinusoidal plus stochastic model
x: input sound, fs: sampling rate, w: analysis window; N: FFT size, t: threshold in negative dB,
minSineDur: minimum duration of sinusoidal tracks
maxnSines: maximum number of parallel sinusoids
freqDevOffset: frequency deviation allowed in the sinusoids from frame to frame at frequency 0
freqDevSlope: slope of the frequency deviation, higher frequencies have bigger deviation
stocf: decimation factor used for the stochastic approximation
returns hfreq, hmag, hphase: harmonic frequencies, magnitude and phases; stocEnv: stochastic residual
"""
# perform sinusoidal analysis
tfreq, tmag, tphase = sineModel.sine_model_anal(
x, fs, w, N, H, t, maxnSines, minSineDur, freqDevOffset, freqDevSlope
)
Ns = 512
xr = utilFunctions.sineSubtraction(x, Ns, H, tfreq, tmag, tphase, fs) # subtract sinusoids from original sound
stocEnv = stochasticModel.stochastic_model_anal(xr, H, H * 2, stocf) # compute stochastic model of residual
return tfreq, tmag, tphase, stocEnv
