pitch = ['F3', 'A3', 'C4', 'F4']
pitch_Hz = [174.6, 220, 261.6, 349.2]
t = open("wav_analysis/data/F0/long_time.txt")
time_list = [float(data.strip()) for data in t.readlines()]
time = np.array(time_list)
t.close()
color = ["#e41a1c", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00"]
fig = plt.figure()
plt.rcParams['font.family'] = 'Times'
ax = fig.add_subplot(111)
f0s = myFunc.loadF0Files("long")
for i in range(4): #人
for k in range(4): #音高
for j in range(5): #母音
cent = 1200 * np.log2(f0s[i][j][k] / pitch_Hz[k])
d = []
d.append(np.mean(cent[200:501]))
d.append(np.mean(cent[500:801]))
d.append(np.mean(cent[800:1101]))
d.append(np.mean(cent[1100:1401]))
error = []
error.append(np.std(cent[200:501]))
error.append(np.std(cent[500:801]))
keys = ['1', '2', '3', '4']
pitch = ['F3', 'A3', 'C4', 'F4']
pitch_Hz = [174.6, 220, 261.6, 349.2]
t = open("wav_analysis/data/F0/updown_time.txt")
time_list = [float(data.strip()) for data in t.readlines()]
time = np.array(time_list)
t.close()
color = ["#e41a1c", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00"]
fig = plt.figure()
ax = fig.add_subplot(111)
f0s = myFunc.loadF0Files("up")
for j in range(5): #母音
for j2 in range(5): #母音
for k in range(3): #音高
for i in range(4): #人
#cent = 1200*np.log2(f0/pitch_Hz[key])
ax.plot(time, f0s[i][j][j2][k], color=color[i], linewidth=1)
ax.set_yscale("log")
ax.set_yticks([], minor=True)
ax.set_yticks(pitch_Hz)
ax.set_yticklabels(pitch)