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update 10

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This commit is contained in:
Connor Olding 2015-10-19 20:53:51 -07:00
parent 9c5825a4b1
commit 034d8632f5
4 changed files with 67 additions and 131 deletions
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55
lib/__init__.py
View File

@ -1,7 +1,3 @@
import numpy as np
#from IPython.display import display
from matplotlib.pylab import show
from .util import *
from .bq import *
from .data import *
@ -14,6 +10,9 @@ from .planes import *
from .fft import *
from .bs import *
import numpy as np
from matplotlib.pylab import show
def analog(b, a):
import sympy as sym
w,s = sym.symbols('w s')
@ -35,27 +34,18 @@ def test_filter_raw(ba, fc=1000, gain=0, precision=4096):
fig, ax = new_response(ymin=-24, ymax=24)
xs = xsp(precision)
ax.semilogx(xs, makemag(fc, ba, gain)(xs))
show(fig)
def test_filter(ff, A=toA(12), Q=toQ(1), **kwargs):
test_filter_raw(ff(A, Q), **kwargs)
npc = [makemag(*f) for f in cascades['raw']]
def neonpink(xs):
lament("neonpink(): DEPRECATED; use tilter2(xs, 'raw') instead.")
combined = np.zeros(len(xs))
for f in npc:
combined += f(xs)
return combined
return tilter2(xs, 'raw')
def c_render(cascade, precision=4096):
# TODO: deprecate in favor of tilter2 (which also needs to be renamed)
xs = xsp(precision)
ys = np.zeros_like(xs)
c = [makemag(*f) for f in cascade]
for f in c:
ys += f(xs)
return xs, ys
return xs, tilter2(xs, cascade)
def c_render2(xs, cascade, phase=False):
"""c_render optimized and specifically for first/second-order filters"""
@ -87,10 +77,10 @@ def c_render2(xs, cascade, phase=False):
ys = degrees_clamped(ys)
return ys
def firize(xs, ys, n=4096, srate=44100, plot=None):
def firize(xs, ys, n=4096, srate=44100, ax=None):
import scipy.signal as sig
if plot:
plot.semilogx(xs, ys, label='desired')
if ax:
ax.semilogx(xs, ys, label='desired')
xf = xs/srate*2
yg = 10**(ys/20)
@ -99,40 +89,29 @@ def firize(xs, ys, n=4096, srate=44100, plot=None):
b = sig.firwin2(n, xf, yg, antisymmetric=True)
if plot:
if ax:
_, ys = sig.freqz(b, worN=xs/srate*tau)
ys = 20*np.log10(np.abs(ys))
plot.semilogx(xs, ys, label='FIR ({} taps)'.format(n))
plot.legend(loc=8)
ax.semilogx(xs, ys, label='FIR ({} taps)'.format(n))
ax.legend(loc=8)
return b
def tilter(xs, ys, tilt):
"""tilts a magnitude plot by some decibels, or by equalizer curve."""
lament("tilter(): DEPRECATED; use ys -= tilter2(xs, tilt) instead.")
if tilt == 'neon':
noise = neonpink(xs)
elif type(tilt) is str:
noise = np.zeros(len(xs))
c = [makemag(*f) for f in cascades[tilt]]
for f in c:
noise += f(xs)
elif isinstance(tilt, int) or isinstance(tilt, float):
noise = tilt*(np.log2(1000) - np.log2(xs))
else:
noise = np.zeros(xs.shape)
return xs, ys - noise
return xs, ys - tilter2(xs, tilt)
def tilter2(xs, tilt):
if type(tilt) is str:
noise = np.zeros(len(xs))
c = [makemag(*f) for f in cascades[tilt]]
noise = np.zeros(xs.shape)
if isinstance(tilt, str) and tilt in cascades:
tilt = cascades[tilt]
if isinstance(tilt, list):
c = [makemag(*f) for f in tilt]
for f in c:
noise += f(xs)
elif isinstance(tilt, int) or isinstance(tilt, float):
noise = tilt*(np.log2(1000) - np.log2(xs + 1e-35))
else:
noise = np.zeros(xs.shape)
return noise
from .plotwav import *

1
lib/bq.py
View File

@ -2,6 +2,7 @@ import numpy as np
import scipy.signal as sig
from .util import *
from .planes import s2z
bq_run = lambda bq, xs: sig.lfilter(*bq, x=xs, axis=0)

1
lib/bs.py
View File

@ -55,7 +55,6 @@ def BS_plot(ys, g10=None, g70=None, threshold=None, fig=None, ax=None):
ax.xlabel('loudness (LKFS)')
ax.ylabel('probability')
fig.set_size_inches(10,4)
show()
xs = np.arange(len(ys))
#ax.plot(xs, ys, color='#066ACF', linestyle=':', marker='d', markersize=2)

141
lib/plotwav.py
View File

@ -1,45 +1,11 @@
# 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 new_response, show, convolve_each, monoize, count_channels
from . import new_response, convolve_each, monoize, count_channels
import numpy as np
def plotwavsmooth(fn, ax, tilt=None, bw=1, size=8192, raw=False, fix=False, smoother=smoothfft2, **kwargs):
s, srate = wav_read(fn)
s, rms = normalize(s, srate)
sm = monoize(s)
ss = monoize(s*np.array((1, -1)))
xs_raw = np.arange(0, srate/2, srate/2/size)
ys_raw = averfft(sm, size=size)
# tilting beforehand is negligible besides lowest frequencies, but eh
if tilt is not None:
ys_raw -= tilter2(xs_raw, tilt)
xs, ys = smoother(xs_raw, ys_raw, bw=bw)
if not 'label' in kwargs:
kwargs['label'] = fn
if raw:
ax.semilogx(xs_raw, ys_raw, **kwargs)
ax.semilogx(xs, ys, **kwargs)
if not fix: return
fno = fn[:-4]+"-proc.wav"
fir = firize(xs, -ys, srate=srate)
sf = convolve_each(s/8, fir, mode='same')
import ewave
with ewave.open(fno, 'w', sampling_rate=srate, nchannels=count_channels(sf)) as f:
f.write(sf)
print('wrote '+fno)
def plotfftsmooth(s, srate, ax, bw=1, tilt=None, size=8192, window=0, raw=False, **kwargs):
def plotfftsmooth(s, srate, ax=None, bw=1, tilt=None, size=8192, window=0, raw=False, **kwargs):
sm = monoize(s)
xs_raw = np.arange(0, srate/2, srate/2/size)
@ -49,78 +15,69 @@ def plotfftsmooth(s, srate, ax, bw=1, tilt=None, size=8192, window=0, raw=False,
xs, ys = smoothfft(xs_raw, ys_raw, bw=bw)
if raw: ax.semilogx(xs_raw, ys_raw, **kwargs)
ax.semilogx(xs, ys, **kwargs)
if ax:
if raw: ax.semilogx(xs_raw, ys_raw, **kwargs)
ax.semilogx(xs, ys, **kwargs)
return xs, ys
def plotwav2(fn, ax, bw=1, size=8192, raw=False, fix=False,
smoother=smoothfft2, side_compensate=9, **kwargs):
def plotwavinternal(sm, ss, srate, bw=1, size=8192, smoother=smoothfft2):
xs_raw = np.arange(0, srate/2, srate/2/size)
ys_raw_m = averfft(sm, size=size)
ys_raw_s = averfft(ss, size=size)
# tilting beforehand is negligible besides lowest frequencies, but eh
ys_raw_m -= tilter2(xs_raw, 'np2')
ys_raw_s -= tilter2(xs_raw, 'np2s')
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)
return xs, ys_m, ys_s
def plotwav2(fn, bw=1, size=8192, fix=False,
smoother=smoothfft2, **kwargs):
s, srate = wav_read(fn)
s, rms = normalize(s, srate)
sm = monoize(s)
ss = monoize(s*np.array((1, -1)))
if s.shape[1] == 2:
ss = monoize(s*np.array((1, -1)))
else:
ss = np.zeros(len(s))
xs_raw = np.arange(0, srate/2, srate/2/size)
ys_raw = averfft(sm, size=size)
ys_raw_side = averfft(ss, size=size)
xs, ys_m, ys_s = plotwavinternal(sm, ss, srate, bw, size, smoother)
# tilting beforehand is negligible besides lowest frequencies, but eh
ys_raw -= tilter2(xs_raw, 'np2')
ys_raw_side -= tilter2(xs_raw, 'np2s')
side_gain = np.average(ys_s) - np.average(ys_m)
xs, ys = smoother(xs_raw, ys_raw, bw=bw)
xs, ys_side = smoother(xs_raw, ys_raw_side, bw=bw)
if fix:
fno = fn[:-4]+"-proc.wav"
if not 'label' in kwargs:
kwargs['label'] = fn
fir_m = firize(xs, -ys_m, srate=srate)
fir_s = firize(xs, -ys_s, srate=srate)
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
if raw:
ax.semilogx(xs_raw, ys_raw, **kwargs)
ax.semilogx(xs_raw, ys_raw_side + side_compensate, **kwargs)
ax.semilogx(xs, ys, **kwargs)
ax.semilogx(xs, ys_side + side_compensate, **kwargs)
import ewave
with ewave.open(fno, 'w', sampling_rate=srate, nchannels=count_channels(sf)) as f:
f.write(sf)
print('wrote '+fno)
side_gain = np.average(ys_raw_side) - np.average(ys_raw)
print("side gain:", side_gain)
return xs, ys_m, ys_s
if not fix: return
def pw2(fn, label=None, bw=1/6, **kwargs):
fno = fn[:-4]+"-proc.wav"
xs, ys_m, ys_s = plotwav2(fn, fix=True, bw=bw, **kwargs)
xs, ys_m, ys_s = plotwav2(fno, fix=False, bw=bw, **kwargs)
fir = firize(xs, -ys, srate=srate)
smf = convolve_each(sm/8, fir, mode='same')
fir = firize(xs, -ys_side, srate=srate)
ssf = convolve_each(ss/8, fir, mode='same')
ssf *= 10**(side_gain/20)
sf = np.array((smf + ssf, smf - ssf)).T
import ewave
with ewave.open(fno, 'w', sampling_rate=srate, nchannels=count_channels(sf)) as f:
f.write(sf)
print('wrote '+fno)
def pw(fn, ax, **kwargs):
plotwavsmooth(fn, ax, tilt='np2', bw=1/6, **kwargs)
def pwc(fn, **kwargs):
fig, ax = new_response(-18, 18)
ax.set_title('averaged magnitudes of normalized songs with tilt and smoothing')
pw(fn, ax, fix=True, **kwargs)
fno = fn[:-4]+"-proc.wav"
pw(fno, ax, fix=False, **kwargs)
label = label or fn
ax.semilogx(xs, ys_m + 0, label=label+' (mid)')
ax.semilogx(xs, ys_s + 9, label=label+' (side)')
ax.legend(loc=8)
show(fig)
def pw2(fn, **kwargs):
fig, ax = new_response(-18, 18)
ax.set_title('averaged magnitudes of normalized songs with tilt and smoothing')
plotwav2(fn, ax, fix=True, bw=1/6, **kwargs)
fno = fn[:-4]+"-proc.wav"
plotwav2(fno, ax, fix=False, bw=1/6, **kwargs)
ax.legend(loc=8)
show(fig)