inertia_filter = maverage(rint(inertia_dur))
api = sys.argv[1] if sys.argv[1:] else None # Choose API via command-line
chunks.size = 1 if api == "jack" else 16
with AudioIO() as player:
first_coeffs = formants[vowels[0]]
# These are signals to be changed during the synthesis
f1 = ControlStream(first_coeffs[0] * Hz)
f2 = ControlStream(first_coeffs[1] * Hz)
gain = ControlStream(0) # For fading in
# Creates the playing signal
filt = CascadeFilter([
resonator.z_exp(inertia_filter(f1).skip(inertia_dur), 400 * Hz),
resonator.z_exp(inertia_filter(f2).skip(inertia_dur), 2000 * Hz),
])
sig = filt((saw_table)(100 * Hz)) * inertia_filter(gain)
th = player.play(sig)
for vowel in vowels:
coeffs = formants[vowel]
print("Now playing: ", vowel)
f1.value = coeffs[0] * Hz
f2.value = coeffs[1] * Hz
gain.value = 1 # Fade in the first vowel, changes nothing afterwards
sleep(2)
# Fade out
gain.value = 0
wp = pylab.array([100 * Hz, 240 * Hz]) # Bandpass range in rad/sample
ws = pylab.array([80 * Hz, 260 * Hz]) # Bandstop range in rad/sample
# Let's use wp/pi since SciPy defaults freq from 0 to 1 (Nyquist frequency)
order, new_wp_divpi = buttord(wp/pi, ws/pi, gpass=dB10(.6), gstop=dB10(.4))
ssfilt = butter(order, new_wp_divpi, btype="bandpass")
filt_butter = ZFilter(ssfilt[0].tolist(), ssfilt[1].tolist())
# Some debug information
new_wp = new_wp_divpi * pi
print("Butterworth filter order:", order) # Should be 3
print("Bandpass ~3dB range (in Hz):", new_wp / Hz)
# Resonator using only the frequency and bandwidth from the Butterworth filter
freq = new_wp.mean()
bw = new_wp[1] - new_wp[0]
filt_reson = resonator.z_exp(freq, bw)
# Plots with MatPlotLib
kwargs = {
"min_freq": 10 * Hz,
"max_freq": 800 * Hz,
"rate": rate, # Ensure frequency unit in plot is Hz
}
filt_butter.plot(pylab.figure("From scipy.signal.butter"), **kwargs)
filt_reson.plot(pylab.figure("From audiolazy.resonator.z_exp"), **kwargs)
filt_butter.zplot(pylab.figure("Zeros/Poles from scipy.signal.butter"))
filt_reson.zplot(pylab.figure("Zeros/Poles from audiolazy.resonator.z_exp"))
pylab.ioff()
pylab.show()
rate = 44100
s, Hz = sHz(rate)
inertia_dur = .5 * s
inertia_filter = maverage(rint(inertia_dur))
with AudioIO() as player:
first_coeffs = formants[vowels[0]]
# These are signals to be changed during the synthesis
f1 = ControlStream(first_coeffs[0] * Hz)
f2 = ControlStream(first_coeffs[1] * Hz)
gain = ControlStream(0) # For fading in
# Creates the playing signal
filt = CascadeFilter([
resonator.z_exp(inertia_filter(f1).skip(inertia_dur), 400 * Hz),
resonator.z_exp(inertia_filter(f2).skip(inertia_dur), 2000 * Hz),
])
sig = filt((saw_table)(100 * Hz)) * inertia_filter(gain)
th = player.play(sig)
for vowel in vowels:
coeffs = formants[vowel]
print("Now playing: ", vowel)
f1.value = coeffs[0] * Hz
f2.value = coeffs[1] * Hz
gain.value = 1 # Fade in the first vowel, changes nothing afterwards
sleep(2)
# Fade out
gain.value = 0
wp = pylab.array([100 * Hz, 240 * Hz]) # Bandpass range in rad/sample
ws = pylab.array([80 * Hz, 260 * Hz]) # Bandstop range in rad/sample
# Let's use wp/pi since SciPy defaults freq from 0 to 1 (Nyquist frequency)
order, new_wp_divpi = buttord(wp / pi, ws / pi, gpass=dB10(.6), gstop=dB10(.4))
ssfilt = butter(order, new_wp_divpi, btype="bandpass")
filt_butter = ZFilter(ssfilt[0].tolist(), ssfilt[1].tolist())
# Some debug information
new_wp = new_wp_divpi * pi
print("Butterworth filter order:", order) # Should be 3
print("Bandpass ~3dB range (in Hz):", new_wp / Hz)
# Resonator using only the frequency and bandwidth from the Butterworth filter
freq = new_wp.mean()
bw = new_wp[1] - new_wp[0]
filt_reson = resonator.z_exp(freq, bw)
# Plots with MatPlotLib
kwargs = {
"min_freq": 10 * Hz,
"max_freq": 800 * Hz,
"rate": rate, # Ensure frequency unit in plot is Hz
}
filt_butter.plot(pylab.figure("From scipy.signal.butter"), **kwargs)
filt_reson.plot(pylab.figure("From audiolazy.resonator.z_exp"), **kwargs)
filt_butter.zplot(pylab.figure("Zeros/Poles from scipy.signal.butter"))
filt_reson.zplot(pylab.figure("Zeros/Poles from audiolazy.resonator.z_exp"))
pylab.ioff()
pylab.show()
"ɒ": [700, 760],
"ʌ": [600, 1170],
"ɔ": [500, 700],
"ɤ": [460, 1310],
"o": [360, 640],
"ɯ": [300, 1390],
"u": [250, 595],
}
inertia_filter = maverage(rint(.5 * s))
with AudioIO() as player:
f1, f2 = ControlStream(0), ControlStream(pi)
gain = ControlStream(0)
filt = CascadeFilter([
resonator.z_exp(inertia_filter(f1), 400 * Hz),
resonator.z_exp(inertia_filter(f2), 2000 * Hz),
])
sig = filt((saw_table)(100 * Hz)) * inertia_filter(gain)
player.play(sig)
vowels = "aɛiɒu"
for vowel in vowels:
coeffs = formants[vowel]
print ("Now playing: ", vowel)
f1.value = coeffs[0] * Hz
f2.value = coeffs[1] * Hz
gain.value = 1
sleep(2)
"ɒ": [700, 760],
"ʌ": [600, 1170],
"ɔ": [500, 700],
"ɤ": [460, 1310],
"o": [360, 640],
"ɯ": [300, 1390],
"u": [250, 595],
}
inertia_filter = maverage(rint(.5 * s))
with AudioIO() as player:
f1, f2 = ControlStream(0), ControlStream(pi)
gain = ControlStream(0)
filt = CascadeFilter([
resonator.z_exp(inertia_filter(f1), 400 * Hz),
resonator.z_exp(inertia_filter(f2), 2000 * Hz),
])
sig = filt((saw_table)(100 * Hz)) * inertia_filter(gain)
player.play(sig)
vowels = "aɛiɒu"
for vowel in vowels:
coeffs = formants[vowel]
print("Now playing: ", vowel)
f1.value = coeffs[0] * Hz
f2.value = coeffs[1] * Hz
gain.value = 1
sleep(2)
