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update 49

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This commit is contained in:
Connor Olding 2019-01-02 06:45:12 -08:00
parent 7d1bf429ba
commit 2cec38a1c1
7 changed files with 88 additions and 36 deletions
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1
lib/__init__.py
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@ -1,5 +1,6 @@
from .util import *
from .bq import *
from .svf import *
from .data import *
from .nsf import *
from .sweeps import *

1
lib/bs.py
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@ -22,6 +22,7 @@ def BS1770_3(s, srate, filters=None, window=0.4, overlap=0.75,
means = np.array([
np.sum(np.mean(b**2, axis=0)) for b in blocks(sf, stepsize, blocksize)
])
means[means < 1e-10] = 1e-10 # clip at -100 dB to avoid negative infinity
LKs = toLK(means)
gated = LKs > -absolute_gate

2
lib/cepstrum.py
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@ -10,7 +10,7 @@ def ifcs(s): # inverted fast cepstrum
return np.fft.fft(np.exp(np.fft.ifft(s)))
def mcs(s): # magnitude
def mcs(s): # magnitude (actually power)
return (np.abs(np.fft.ifft(np.log(np.abs(np.fft.fft(s))**2)))**2
)[:len(s)//2]

36
lib/fft.py
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@ -1,6 +1,8 @@
import numpy as np
import scipy.signal as sig
from .util import lament
def magnitudes_window_setup(s, size=8192, overlap=0.661):
# note: the default overlap value is only
@ -11,7 +13,10 @@ def magnitudes_window_setup(s, size=8192, overlap=0.661):
return step, segs
def magnitudes(s, size=8192):
def magnitudes(s, size=8192, broken=True):
if broken:
lament("magnitudes(broken=True): DEPRECATED")
step, segs = magnitudes_window_setup(s, size)
L = s.shape[0]
@ -25,24 +30,31 @@ def magnitudes(s, size=8192):
win = sig.blackmanharris(win_size)
win /= np.sqrt(np.sum(np.square(win)))
count = 0
for i in range(0, L - 1, int(step)):
windowed = s[i:i+win_size]*win
power = np.abs(np.fft.rfft(windowed, 2 * size))**2
# this scraps the nyquist value to get exactly 'size' outputs
yield power[0:size]
count += 1
# assert(segs == count) # this is probably no good in a generator
if broken:
power = np.abs(np.fft.rfft(windowed, 2 * size))**2
# this scraps the nyquist value to get exactly 'size' outputs
yield power[:size]
else:
power = np.abs(np.fft.rfft(windowed, size))**2
# this scraps the 0 Hz value to get exactly size//2 outputs
yield power[1:]
def averfft(s, size=8192):
def averfft(s, size=8192, broken=True):
"""calculates frequency magnitudes by fft and averages them together."""
step, segs = magnitudes_window_setup(s, size)
avg = np.zeros(size)
for power in magnitudes(s, size):
avg += power/segs
if broken:
lament("averfft(broken=True): DEPRECATED")
avg = np.zeros(size)
for power in magnitudes(s, size):
avg += power/segs
else:
avg = np.zeros(size//2)
for power in magnitudes(s, size):
avg += power/segs
avg_db = 10*np.log10(avg)
return avg_db

28
lib/plotwav.py
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@ -1,6 +1,7 @@
# this is a bunch of crap that should really be reduced to one or two functions
from . import wav_read, normalize, averfft, tilter2, smoothfft2, firize
from . import wav_read, wav_write
from . import normalize, averfft, tilter2, smoothfft4, firize
from . import new_response, magnitude_x, convolve_each, monoize, count_channels
import numpy as np
@ -12,10 +13,8 @@ def plotfftsmooth(s, srate, ax=None, bw=1, tilt=None, size=8192,
xs_raw = magnitude_x(srate, size)
ys_raw = averfft(sm, size=size, mode=window)
ys_raw -= tilter2(xs_raw, tilt)
xs, ys = smoothfft(xs_raw, ys_raw, bw=bw)
xs, ys = smoothfft4(ys_raw, bw)
if ax:
if raw:
@ -25,7 +24,7 @@ def plotfftsmooth(s, srate, ax=None, bw=1, tilt=None, size=8192,
return xs, ys
def plotwavinternal(sm, ss, srate, bw=1, size=8192, smoother=smoothfft2):
def plotwavinternal(sm, ss, srate, bw=1, size=8192):
xs_raw = magnitude_x(srate, size)
ys_raw_m = averfft(sm, size=size)
ys_raw_s = averfft(ss, size=size)
@ -37,24 +36,23 @@ def plotwavinternal(sm, ss, srate, bw=1, size=8192, smoother=smoothfft2):
if bw <= 0:
return xs_raw, xs_raw_m, xs_raw_s
xs, ys_m = smoother(xs_raw, ys_raw_m, bw=bw)
xs, ys_s = smoother(xs_raw, ys_raw_s, bw=bw)
xs, ys_m = smoothfft4(ys_raw_m, bw=bw, srate=srate)
xs, ys_s = smoothfft4(ys_raw_s, bw=bw, srate=srate)
return xs, ys_m, ys_s
def plotwav2(fn, bw=1, size=8192, fix=False,
smoother=smoothfft2, **kwargs):
def plotwav2(fn, bw=1, size=8192, fix=False, **kwargs):
s, srate = wav_read(fn)
s, rms = normalize(s, srate)
sm = monoize(s)
if s.shape[1] == 2:
if s.ndim > 1 and s.shape[1] == 2:
ss = monoize(s*np.array((1, -1)))
else:
ss = np.zeros(len(s))
xs, ys_m, ys_s = plotwavinternal(sm, ss, srate, bw, size, smoother)
xs, ys_m, ys_s = plotwavinternal(sm, ss, srate, bw, size)
side_gain = np.average(ys_s) - np.average(ys_m)
@ -66,12 +64,9 @@ def plotwav2(fn, bw=1, size=8192, fix=False,
smf = convolve_each(sm/8, fir_m, mode='same')
ssf = convolve_each(ss/8, fir_s, mode='same')
ssf *= 10**(side_gain/20)
sf = np.array((smf + ssf, smf - ssf)).T
sf = np.c_[smf + ssf, smf - ssf]
import ewave
with ewave.open(fno, 'w', sampling_rate=srate,
nchannels=count_channels(sf)) as f:
f.write(sf)
wav_write(fno, sf, srate, dtype='f')
print('wrote '+fno)
return xs, ys_m, ys_s
@ -89,3 +84,4 @@ def pw2(fn, label=None, bw=1/6, **kwargs):
ax.semilogx(xs, ys_m + 0, label=label+' (mid)')
ax.semilogx(xs, ys_s + 9, label=label+' (side)')
ax.legend(loc=8)
return fig, ax

40
lib/smoothfft.py
View File

@ -1,11 +1,11 @@
from . import xsp, lament
from . import xsp, lament, ceil2
import numpy as np
def smoothfft(xs, ys, bw=1, precision=512):
"""performs log-lin smoothing on magnitude data,
generally from the output of averfft."""
lament("smoothfft(): DEPRECATED; use smoothfft2 instead.")
lament("smoothfft(): DEPRECATED; use smoothfft4 instead.")
xs2 = xsp(precision)
ys2 = np.zeros(precision)
log_xs = np.log(xs)
@ -23,7 +23,7 @@ def smoothfft(xs, ys, bw=1, precision=512):
def smoothfft2(xs, ys, bw=1, precision=512, compensate=True):
"""performs log-lin smoothing on magnitude data,
generally from the output of averfft."""
# this is probably implementable with FFTs now that i think about it
lament('smoothfft2: DEPRECATED; use smoothfft4 instead.')
xs2 = xsp(precision)
ys2 = np.zeros(precision)
log2_xs2 = np.log2(xs2)
@ -41,6 +41,7 @@ def smoothfft2(xs, ys, bw=1, precision=512, compensate=True):
def smoothfft_setup(size, precision=512, bw=1/6):
lament('smoothfft_setup(): DEPRECATED; use smoothfft_setup2 instead.')
dotme = np.zeros((size, precision))
xs = np.arange(0, 1, 1/size)
@ -61,8 +62,41 @@ def smoothfft_setup(size, precision=512, bw=1/6):
def smoothfft3(ys, bw=1, precision=512, srate=None):
"""performs log-lin smoothing on magnitude data"""
lament('smoothfft3(): DEPRECATED; use smoothfft4 instead.')
xs2, dotme = smoothfft_setup(len(ys), precision, bw)
if srate is None:
return xs2, ys @ dotme
else:
return xs2 * (srate / 2), ys @ dotme
def smoothfft_setup2(size, precision=512, bw=1/6):
# tweaked/fixed to drop 0 Hz
size -= size % 2
assert size == ceil2(size), size
dotme = np.zeros((size, precision))
xs = np.arange(1, size + 1) / size
xs2 = np.logspace(-np.log2(size), 0, precision, base=2)
comp = np.zeros(precision)
log2_xs2 = np.log2(xs2)
for i, x in enumerate(xs):
dist = np.abs(log2_xs2 - np.log2(x)) / bw
window = np.exp(-dist**2 * 4) # gaussian (untruncated)
comp += window
dotme[i] = window
dotme /= comp
return xs2, dotme
def smoothfft4(ys, bw=1, precision=512, srate=None):
# tweaked/fixed to drop 0 Hz
if len(ys) % 2 == 1:
ys = ys[1:]
xs2, dotme = smoothfft_setup2(len(ys), precision, bw)
if srate is None:
return xs2, ys @ dotme
else:
return xs2 * (srate / 2), ys @ dotme

16
lib/util.py
View File

@ -45,13 +45,21 @@ def pad2(x):
return np.r_[x, np.zeros(ceil2(len(x)) - len(x), x.dtype)]
def magnitude(src, size):
return 10*np.log10(np.abs(np.fft.rfft(src, 2 * size))**2)[0:size]
def magnitude(src, size, broken=True):
if broken:
lament("magnitude(broken=True): DEPRECATED")
return 10*np.log10(np.abs(np.fft.rfft(src, 2 * size))**2)[:size]
else:
return 10*np.log10(np.abs(np.fft.rfft(src, size))**2)[1:]
# x axis for plotting above magnitude
def magnitude_x(srate, size):
return np.arange(0, srate/2, srate/2/size)
def magnitude_x(srate, size, broken=True):
if broken:
lament("magnitude_x(broken=True): DEPRECATED")
return np.arange(0, srate/2, srate/2/size)
else:
return np.arange(1, size // 2 + 1) / (size // 2) * (srate / 2)
def degrees_clamped(x):