/
contentview.py
626 lines (474 loc) · 20.1 KB
/
contentview.py
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import os
import numpy as np
import sounddevice as sd
from PyQt5.QtChart import QChart, QChartView, QLineSeries, QValueAxis
from PyQt5.QtCore import Qt, QPointF
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QWidget, QVBoxLayout, QHBoxLayout, QPushButton, QFileDialog, QComboBox, QErrorMessage, \
QMessageBox
from scipy import fftpack
from scipy.io import wavfile
import scipy.signal as signal
from scipy.signal import lfilter
import cepstrum
import matplotlib.pyplot as plt
import librosa
import librosa.display
from dragdroparea import DragDropArea
from filterselectiondialog import FilterSelectionDialog
from muteinstrumentdialog import MuteInstrumentsDialog
from filterresponsedialog import FilterResponseDialog
from cepstrumdialog import CepstrumDialog
class ContentView(QWidget):
def __init__(self):
super().__init__()
self.m_chart_1 = QChart()
self.m_chart_2 = QChart()
self.m_chart_3 = QChart()
self.m_chart_4 = QChart()
self.m_series_1 = QLineSeries()
self.m_series_2 = QLineSeries()
self.m_series_3 = QLineSeries()
self.m_series_4 = QLineSeries()
self.y_original = []
self.x_data = []
self.y_processed = []
self.sampling_rate = 0
self.pathForVocalMute = ""
self.select_action_drop = QComboBox()
self.echo_shift = 0.4
self.echo_alpha = 0.5
self.init_ui()
def init_ui(self):
main_layout = QVBoxLayout()
# Drag&Drop area
drag_drop = DragDropArea(parent=self)
main_layout.addWidget(drag_drop)
# Chart layout
chart_layout_1 = QHBoxLayout()
chart_layout_2 = QHBoxLayout()
# Chart 1
chart_view_1 = QChartView(self.m_chart_1)
chart_view_1.setMinimumSize(400, 300)
self.m_chart_1.addSeries(self.m_series_1)
pen = self.m_series_1.pen()
pen.setColor(Qt.red)
pen.setWidthF(.1)
self.m_series_1.setPen(pen)
self.m_series_1.setUseOpenGL(True)
axis_x = QValueAxis()
axis_x.setRange(0, 100)
axis_x.setLabelFormat("%g")
axis_x.setTitleText("Samples")
axis_y = QValueAxis()
axis_y.setRange(-10, 10)
axis_y.setTitleText("Audio level")
self.m_chart_1.setAxisX(axis_x, self.m_series_1)
self.m_chart_1.setAxisY(axis_y, self.m_series_1)
self.m_chart_1.setTitle("Original signal time domain")
chart_layout_1.addWidget(chart_view_1)
# Chart 2
chart_view_2 = QChartView(self.m_chart_2)
chart_view_2.setMinimumSize(400, 300)
self.m_chart_2.setTitle("Original signal frequency domain")
pen = self.m_series_2.pen()
pen.setColor(Qt.blue)
pen.setWidthF(.1)
self.m_series_2.setPen(pen)
self.m_series_2.setUseOpenGL(True)
self.m_chart_2.addSeries(self.m_series_2)
chart_layout_1.addWidget(chart_view_2)
# Chart 3
chart_view_3 = QChartView(self.m_chart_3)
chart_view_3.setMinimumSize(400, 300)
self.m_chart_3.addSeries(self.m_series_3)
pen = self.m_series_3.pen()
pen.setColor(Qt.green)
pen.setWidthF(.1)
self.m_series_3.setPen(pen)
self.m_series_3.setUseOpenGL(True)
axis_x = QValueAxis()
axis_x.setRange(0, 100)
axis_x.setLabelFormat("%g")
axis_x.setTitleText("Samples")
axis_y = QValueAxis()
axis_y.setRange(-10, 10)
axis_y.setTitleText("Audio level")
self.m_chart_3.setAxisX(axis_x, self.m_series_3)
self.m_chart_3.setAxisY(axis_y, self.m_series_3)
self.m_chart_3.setTitle("Processed signal time domain")
chart_layout_2.addWidget(chart_view_3)
# Chart 4
chart_view_4 = QChartView(self.m_chart_4)
chart_view_4.setMinimumSize(400, 300)
self.m_chart_4.setTitle("Processed signal frequency domain")
pen = self.m_series_4.pen()
pen.setColor(Qt.magenta)
pen.setWidthF(.1)
self.m_series_4.setPen(pen)
self.m_series_4.setUseOpenGL(True)
self.m_chart_4.addSeries(self.m_series_4)
chart_layout_2.addWidget(chart_view_4)
main_layout.addLayout(chart_layout_1)
main_layout.addLayout(chart_layout_2)
# Action buttons
player_layout = QHBoxLayout()
self.select_action_drop.addItems(["Add noise", "Filter", "Mute equipment",
"Mute vocal", "Add echo", "Filter echo"])
player_layout.addWidget(self.select_action_drop)
noise_jc = QIcon('rate_ic.png')
noise_btn = QPushButton('Process')
noise_btn.setIcon(noise_jc)
noise_btn.clicked.connect(self.on_action)
player_layout.addWidget(noise_btn)
play_jc = QIcon('play_ic.png')
play_orig_btn = QPushButton('Play Original')
play_orig_btn.setIcon(play_jc)
play_orig_btn.clicked.connect(self.on_play_orig)
player_layout.addWidget(play_orig_btn)
play_jc = QIcon('play_ic.png')
play_btn = QPushButton('Play Processed')
play_btn.setIcon(play_jc)
play_btn.clicked.connect(self.on_play)
player_layout.addWidget(play_btn)
stop_jc = QIcon('stop_ic.png')
stop_btn = QPushButton('Stop')
stop_btn.setIcon(stop_jc)
stop_btn.clicked.connect(self.on_stop)
player_layout.addWidget(stop_btn)
main_layout.addLayout(player_layout)
self.setLayout(main_layout)
''''
Toolbar actions
'''
def browse_file(self):
path1 = QFileDialog.getOpenFileName(self, 'Open File', os.getenv('HOME'), '*.wav')
print(path1[0])
rate, data = wavfile.read(path1[0])
self.sampling_rate = rate
self.y_original = data[:, 0]
self.show_original_data()
def on_file_upload(self, file_url):
print(file_url[7:])
self.pathForVocalMute = file_url[7:]
rate, data = wavfile.read(file_url[7:])
self.sampling_rate = rate
self.y_original = data[:, 0]
self.show_original_data()
def on_save(self):
print("on_save")
if len(self.y_processed) > 0:
path = QFileDialog.getSaveFileName(self, 'Save File', os.getenv('HOME'), 'audio/wav')
if path[0] != '':
data2 = np.asarray([self.y_processed, self.y_processed]).transpose()
wavfile.write(path[0], self.sampling_rate, data2)
else:
msg = QMessageBox()
msg.setIcon(QMessageBox.Critical)
msg.setText("No path")
msg.setInformativeText("You should define path to save file")
msg.setWindowTitle("Error")
msg.exec_()
else:
msg = QMessageBox()
msg.setIcon(QMessageBox.Critical)
msg.setText("No data")
msg.setInformativeText("No data to save, you should upload and process sound file")
msg.setWindowTitle("Error")
msg.exec_()
''''
Action selection
'''
def on_action(self):
if self.select_action_drop.currentText() == "Add noise":
self.on_add_noise()
elif self.select_action_drop.currentText() == "Filter":
self.on_filter()
elif self.select_action_drop.currentText() == "Mute equipment":
self.on_mute_equipment()
elif self.select_action_drop.currentText() == "Mute vocal":
self.on_mute_voice()
elif self.select_action_drop.currentText() == "Add echo":
self.on_add_echo()
elif self.select_action_drop.currentText() == "Filter echo":
self.on_filter_echo()
'''
Noise addition
'''
def on_add_noise(self):
if len(self.y_original) == 0:
msg = QMessageBox()
msg.setIcon(QMessageBox.Critical)
msg.setText("Upload sound file")
msg.setInformativeText("First you should add sound file to process")
msg.setWindowTitle("Error")
msg.exec_()
return
noise = np.random.normal(0, self.y_original.max() / 30, len(self.y_original))
arr1 = np.array(self.y_original)
self.y_processed = arr1 + noise
self.show_processed_data()
def on_filter(self):
print("on_filter")
if len(self.y_original) == 0:
msg = QMessageBox()
msg.setIcon(QMessageBox.Critical)
msg.setText("Upload sound file")
msg.setInformativeText("First you should add sound file to process")
msg.setWindowTitle("Error")
msg.exec_()
return
filter1, filter2, limit1, limit2, extra, max_ripple, min_attenuation, ok = FilterSelectionDialog.show_dialog(
parent=self)
print(filter1, filter2, limit1, limit2, extra, max_ripple, min_attenuation, ok)
if ok:
if filter1 == "FIR filter":
self.on_fir_filter(filter2, limit1, limit2, extra)
elif filter1 == "IIR filter":
self.on_iir_filter(filter2, limit1, limit2, extra, max_ripple, min_attenuation)
def on_mute_equipment(self):
print("on_mute_equipment")
check_piano, check_organ, check_flute, check_french_horn, check_trumpet, check_violin, \
check_guitar_acoustic, check_guitar_bass, check_clarinet, \
check_saxophone, ok = MuteInstrumentsDialog.show_dialog(parent=self)
print(check_piano, check_organ, check_flute, check_french_horn, check_trumpet, check_violin,
check_guitar_acoustic, check_guitar_bass, check_clarinet, check_saxophone, ok)
'''
Piano A0 (28 Hz) to C8 (4,186 Hz or 4.1 KHz)
Organ C0 (16 Hz) to A9 (7,040 KHz)
Concert Flute C4 (262 Hz) to B6 (1,976 Hz)
French Horn A2 (110 Hz) to A5 (880 Hz)
Trumpet E3 (165 Hz) to B5 (988 Hz)
Violin G3 (196 Hz) - G7 (3,136 Hz) (G-D-E-A) (or C8 (4,186 Hz?)
Guitar (Acoustic) E2 (82 Hz) to F6 (1,397 Hz)
Guitar (Bass) 4 string E1 (41 Hz) to C4 (262 Hz)
Clarinet E3 (165 Hz) to G6 (1,568 Hz)
Saxaphone Eb 138-830 (880)
'''
if ok:
print(check_piano)
limit1 = 0.1
limit2 = 0.2
if check_piano:
pass
elif check_organ:
pass
elif check_flute:
limit1 = 262 / self.sampling_rate
limit2 = 1976 / self.sampling_rate
pass
elif check_french_horn:
limit1 = 110 / self.sampling_rate
limit2 = 880 / self.sampling_rate
pass
elif check_trumpet:
limit1 = 165 / self.sampling_rate
limit2 = 988 / self.sampling_rate
pass
elif check_violin:
limit1 = 196 / self.sampling_rate
limit2 = 3136 / self.sampling_rate
pass
elif check_guitar_acoustic:
limit1 = 82 / self.sampling_rate
limit2 = 1397 / self.sampling_rate
pass
elif check_guitar_bass:
limit1 = 41 / self.sampling_rate
limit2 = 262 / self.sampling_rate
pass
elif check_clarinet:
limit1 = 165 / self.sampling_rate
limit2 = 1568 / self.sampling_rate
pass
elif check_saxophone:
limit1 = 138 / self.sampling_rate
limit2 = 880 / self.sampling_rate
pass
print(limit1, limit2)
print([0.0, 0.0001, limit1 - 0.0001, limit1, limit2, limit2 + 0.0001, 0.9991, 1.0],
[0, 1, 1, 0, 0, 1, 1, 0])
design_filter = signal.firwin2(1000000,
[0.0, 0.0001, limit1 - 0.0001, limit1, limit2, limit2 + 0.0001, 0.9991, 1.0],
[0, 1, 1, 0, 0, 1, 1, 0])
self.y_processed = signal.convolve(self.y_original, design_filter, mode='same')
w1, h1 = signal.freqz(design_filter)
result = FilterResponseDialog.show_dialog(parent=self, w1=w1, h1=h1)
if result:
self.show_processed_data()
def on_mute_voice(self):
y, sr = librosa.load(self.pathForVocalMute, sr=self.sampling_rate)
S_full, phase = librosa.magphase(librosa.stft(y))
S_filter = librosa.decompose.nn_filter(S_full,
aggregate=np.median,
metric='cosine',
width=int(librosa.time_to_frames(2, sr=sr)))
S_filter = np.minimum(S_full, S_filter)
margin_i, margin_v = 2, 10
power = 2
mask_i = librosa.util.softmask(S_filter,
margin_i * (S_full - S_filter),
power=power)
mask_v = librosa.util.softmask(S_full - S_filter,
margin_v * S_filter,
power=power)
S_foreground = mask_v * S_full
S_background = mask_i * S_full
self.y_processed = librosa.istft(S_background)
self.show_processed_data()
def on_add_echo(self):
if len(self.y_original) == 0:
msg = QMessageBox()
msg.setIcon(QMessageBox.Critical)
msg.setText("Upload sound file")
msg.setInformativeText("First you should add sound file to process")
msg.setWindowTitle("Error")
msg.exec_()
return
num_shift = int(self.sampling_rate * self.echo_shift)
zeros = np.zeros(num_shift)
original = np.append(self.y_original, zeros)
echo = np.append(zeros, self.y_original) * self.echo_alpha
self.y_processed = original + echo
np.delete(self.y_processed, np.arange(len(self.y_processed) - len(zeros), len(self.y_processed)))
self.show_processed_data()
def on_filter_echo(self):
ceps = cepstrum.real_cepstrum(np.array(self.y_original))
index, result = CepstrumDialog.show_dialog(self, ceps)
if result:
print(index)
b = np.array([1])
a = np.zeros(index + 1)
a[0] = 1
a[len(a) - 1] = self.echo_alpha
zi = signal.lfilter_zi(b, a)
self.y_processed, _ = signal.lfilter(b, a, self.y_original, axis=0, zi=zi*self.y_original[0])
w1, h1 = signal.freqz(b, a)
result = FilterResponseDialog.show_dialog(parent=self, w1=w1, h1=h1)
if result:
self.show_processed_data()
'''
Filters
'''
def on_fir_filter(self, filter_type, limit1, limit2, extra):
if filter_type == "Low-pass":
design_filter = signal.firwin(41, limit1, window=extra)
elif filter_type == "High-pass":
temp = np.zeros(41)
temp[20] = 1
design_filter = temp - np.array(signal.firwin(41, limit1, window=extra))
elif filter_type == "Band-pass":
temp = np.zeros(41)
temp[20] = 1
design_filter = temp - np.array(signal.firwin(41, [limit1, limit2], window=extra))
elif filter_type == "Band-reject":
design_filter = signal.firwin(41, [limit1, limit2], window=extra)
self.y_processed = signal.convolve(self.y_original, design_filter, mode='same')
w1, h1 = signal.freqz(design_filter)
result = FilterResponseDialog.show_dialog(parent=self, w1=w1, h1=h1)
if result:
self.show_processed_data()
def on_iir_filter(self, filter_type, limit1, limit2, extra, max_ripple, min_attenuation):
if filter_type == "Low-pass":
b, a = signal.iirfilter(4, limit1, rp=int(max_ripple), rs=int(min_attenuation), btype='lowpass',
ftype=extra)
elif filter_type == "High-pass":
b, a = signal.iirfilter(4, limit1, rp=int(max_ripple), rs=int(min_attenuation), btype='highpass',
ftype=extra)
elif filter_type == "Band-pass":
b, a = signal.iirfilter(4, [limit1, limit2], rp=int(max_ripple), rs=int(min_attenuation), btype='bandpass',
ftype=extra)
elif filter_type == "Band-reject":
b, a = signal.iirfilter(4, [limit1, limit2], rp=int(max_ripple), rs=int(min_attenuation), btype='bandstop',
ftype=extra)
self.y_processed = signal.lfilter(b, a, self.y_original)
w1, h1 = signal.freqz(b, a)
result = FilterResponseDialog.show_dialog(parent=self, w1=w1, h1=h1)
if result:
self.show_processed_data()
'''
Audio controls
'''
def on_play(self):
print("on_play")
if len(self.y_processed) > 0:
data2 = np.asarray(self.y_processed)
sd.play(data2, self.sampling_rate)
else:
msg = QMessageBox()
msg.setIcon(QMessageBox.Critical)
msg.setText("Upload sound file")
msg.setInformativeText("First you should upload and process sound file to play")
msg.setWindowTitle("Error")
msg.exec_()
def on_stop(self):
sd.stop()
def on_play_orig(self):
print("on_play_orig")
if len(self.y_original) > 0:
data = np.asarray(self.y_original)
sd.play(data, self.sampling_rate)
else:
msg = QMessageBox()
msg.setIcon(QMessageBox.Critical)
msg.setText("Upload sound file")
msg.setInformativeText("First you should add sound file to play")
msg.setWindowTitle("Error")
msg.exec_()
'''
Signal plots
'''
def show_original_data(self):
# Time domain
y_data_scaled = np.interp(self.y_original, (self.y_original.min(), self.y_original.max()), (-10, +10))
sample_size = len(self.y_original)
self.x_data = np.linspace(0., 100., sample_size)
points_1 = []
for k in range(len(y_data_scaled)):
points_1.append(QPointF(self.x_data[k], y_data_scaled[k]))
self.m_series_1.replace(points_1)
# Frequency domain
y_freq_data = np.abs(fftpack.fft(self.y_original))
y_freq_data = np.interp(y_freq_data, (y_freq_data.min(), y_freq_data.max()), (0, +10))
x_freq_data = fftpack.fftfreq(len(self.y_original)) * self.sampling_rate
axis_x = QValueAxis()
axis_x.setRange(0, self.sampling_rate / 2)
axis_x.setLabelFormat("%g")
axis_x.setTitleText("Frequency [Hz]")
axis_y = QValueAxis()
axis_y.setRange(np.min(y_freq_data), np.max(y_freq_data))
axis_y.setTitleText("Magnitude")
self.m_chart_2.setAxisX(axis_x, self.m_series_2)
self.m_chart_2.setAxisY(axis_y, self.m_series_2)
points_2 = []
for k in range(len(y_freq_data)):
points_2.append(QPointF(x_freq_data[k], y_freq_data[k]))
self.m_series_2.replace(points_2)
self.m_series_3.clear()
self.m_series_4.clear()
def show_processed_data(self):
# Time domain
y_data_scaled = np.interp(self.y_processed, (self.y_processed.min(), self.y_processed.max()), (-10, +10))
points_3 = []
sample_size = len(self.y_processed)
x_data = np.linspace(0., 100., sample_size)
for k in range(len(y_data_scaled)):
points_3.append(QPointF(x_data[k], y_data_scaled[k]))
self.m_series_3.replace(points_3)
# Frequency domain
y_freq_data = np.abs(fftpack.fft(self.y_processed))
y_freq_data = np.interp(y_freq_data, (y_freq_data.min(), y_freq_data.max()), (0, +10))
x_freq_data = fftpack.fftfreq(len(self.y_processed)) * self.sampling_rate
axis_x = QValueAxis()
axis_x.setRange(0, self.sampling_rate / 2)
axis_x.setLabelFormat("%g")
axis_x.setTitleText("Frequency [Hz]")
axis_y = QValueAxis()
axis_y.setRange(np.min(y_freq_data), np.max(y_freq_data))
axis_y.setTitleText("Magnitude")
self.m_chart_4.setAxisX(axis_x, self.m_series_4)
self.m_chart_4.setAxisY(axis_y, self.m_series_4)
points_4 = []
for k in range(len(y_freq_data)):
points_4.append(QPointF(x_freq_data[k], y_freq_data[k]))
self.m_series_4.replace(points_4)