import matplotlib.pyplot as plt
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from PyQt5.QtCore import Qt, QStringListModel
from PyQt5 import QtGui
from PyQt5.QtWidgets import *
from encoder.inference import plot_embedding_as_heatmap
from toolbox.utterance import Utterance
from pathlib import Path
from typing import List, Set
import sounddevice as sd
import soundfile as sf
import numpy as np
# from sklearn.manifold import TSNE # You can try with TSNE if you like, I prefer UMAP
from time import sleep
import umap
import sys
from warnings import filterwarnings, warn
filterwarnings("ignore")
colormap = np.array([
[0, 127, 70],
[255, 0, 0],
[255, 217, 38],
[0, 135, 255],
[165, 0, 165],
[255, 167, 255],
[97, 142, 151],
[0, 255, 255],
[255, 96, 38],
[142, 76, 0],
[33, 0, 127],
[0, 0, 0],
[183, 183, 183],
[76, 255, 0],
], dtype=np.float) / 255
default_text = \
"欢迎使用工具箱, 现已支持中文输入！"
class UI(QDialog):
min_umap_points = 4
max_log_lines = 5
max_saved_utterances = 20
def draw_utterance(self, utterance: Utterance, which):
self.draw_spec(utterance.spec, which)
self.draw_embed(utterance.embed, utterance.name, which)
def draw_embed(self, embed, name, which):
embed_ax, _ = self.current_ax if which == "current" else self.gen_ax
embed_ax.figure.suptitle("" if embed is None else name)
## Embedding
# Clear the plot
if len(embed_ax.images) > 0:
embed_ax.images[0].colorbar.remove()
embed_ax.clear()
# Draw the embed
if embed is not None:
plot_embedding_as_heatmap(embed, embed_ax)
embed_ax.set_title("embedding")
embed_ax.set_aspect("equal", "datalim")
embed_ax.set_xticks([])
embed_ax.set_yticks([])
embed_ax.figure.canvas.draw()
def draw_spec(self, spec, which):
_, spec_ax = self.current_ax if which == "current" else self.gen_ax
## Spectrogram
# Draw the spectrogram
spec_ax.clear()
if spec is not None:
im = spec_ax.imshow(spec, aspect="auto", interpolation="none")
# spec_ax.figure.colorbar(mappable=im, shrink=0.65, orientation="horizontal",
# spec_ax=spec_ax)
spec_ax.set_title("mel spectrogram")
spec_ax.set_xticks([])
spec_ax.set_yticks([])
spec_ax.figure.canvas.draw()
if which != "current":
self.vocode_button.setDisabled(spec is None)
def draw_umap_projections(self, utterances: Set[Utterance]):
self.umap_ax.clear()
speakers = np.unique([u.speaker_name for u in utterances])
colors = {speaker_name: colormap[i] for i, speaker_name in enumerate(speakers)}
embeds = [u.embed for u in utterances]
# Display a message if there aren't enough points
if len(utterances) < self.min_umap_points:
self.umap_ax.text(.5, .5, "Add %d more points to\ngenerate the projections" %
(self.min_umap_points - len(utterances)),
horizontalalignment='center', fontsize=15)
self.umap_ax.set_title("")
# Compute the projections
else:
if not self.umap_hot:
self.log(
"Drawing UMAP projections for the first time, this will take a few seconds.")
self.umap_hot = True
reducer = umap.UMAP(int(np.ceil(np.sqrt(len(embeds)))), metric="cosine")
# reducer = TSNE()
projections = reducer.fit_transform(embeds)
speakers_done = set()
for projection, utterance in zip(projections, utterances):
color = colors[utterance.speaker_name]
mark = "x" if "_gen_" in utterance.name else "o"
label = None if utterance.speaker_name in speakers_done else utterance.speaker_name
speakers_done.add(utterance.speaker_name)
self.umap_ax.scatter(projection[0], projection[1], c=[color], marker=mark,
label=label)
# self.umap_ax.set_title("UMAP projections")
self.umap_ax.legend(prop={'size': 10})
# Draw the plot
self.umap_ax.set_aspect("equal", "datalim")
self.umap_ax.set_xticks([])
self.umap_ax.set_yticks([])
self.umap_ax.figure.canvas.draw()
def save_audio_file(self, wav, sample_rate):
dialog = QFileDialog()
dialog.setDefaultSuffix(".wav")
fpath, _ = dialog.getSaveFileName(
parent=self,
caption="Select a path to save the audio file",
filter="Audio Files (*.flac *.wav)"
)
if fpath:
#Default format is wav
if Path(fpath).suffix == "":
fpath += ".wav"
sf.write(fpath, wav, sample_rate)
def setup_audio_devices(self, sample_rate):
input_devices = []
output_devices = []
for device in sd.query_devices():
# Check if valid input
try:
sd.check_input_settings(device=device["name"], samplerate=sample_rate)
input_devices.append(device["name"])
except:
pass
# Check if valid output
try:
sd.check_output_settings(device=device["name"], samplerate=sample_rate)
output_devices.append(device["name"])
except Exception as e:
# Log a warning only if the device is not an input
if not device["name"] in input_devices:
warn("Unsupported output device %s for the sample rate: %d \nError: %s" % (device["name"], sample_rate, str(e)))
if len(input_devices) == 0:
self.log("No audio input device detected. Recording may not work.")
self.audio_in_device = None
else:
self.audio_in_device = input_devices[0]
if len(output_devices) == 0:
self.log("No supported output audio devices were found! Audio output may not work.")
self.audio_out_devices_cb.addItems(["None"])
self.audio_out_devices_cb.setDisabled(True)
else:
self.audio_out_devices_cb.clear()
self.audio_out_devices_cb.addItems(output_devices)
self.audio_out_devices_cb.currentTextChanged.connect(self.set_audio_device)
self.set_audio_device()
def set_audio_device(self):
output_device = self.audio_out_devices_cb.currentText()
if output_device == "None":
output_device = None
# If None, sounddevice queries portaudio
sd.default.device = (self.audio_in_device, output_device)
def play(self, wav, sample_rate):
try:
sd.stop()
sd.play(wav, sample_rate)
except Exception as e:
print(e)
self.log("Error in audio playback. Try selecting a different audio output device.")
self.log("Your device must be connected before you start the toolbox.")
def stop(self):
sd.stop()
def record_one(self, sample_rate, duration):
self.record_button.setText("Recording...")
self.record_button.setDisabled(True)
self.log("Recording %d seconds of audio" % duration)
sd.stop()
try:
wav = sd.rec(duration * sample_rate, sample_rate, 1)
except Exception as e:
print(e)
self.log("Could not record anything. Is your recording device enabled?")
self.log("Your device must be connected before you start the toolbox.")
return None
for i in np.arange(0, duration, 0.1):
self.set_loading(i, duration)
sleep(0.1)
self.set_loading(duration, duration)
sd.wait()
self.log("Done recording.")
self.record_button.setText("Record")
self.record_button.setDisabled(False)
return wav.squeeze()
@property
def current_dataset_name(self):
return self.dataset_box.currentText()
@property
def current_speaker_name(self):
return self.speaker_box.currentText()
@property
def current_utterance_name(self):
return self.utterance_box.currentText()
def browse_file(self):
fpath = QFileDialog().getOpenFileName(
parent=self,
caption="Select an audio file",
filter="Audio Files (*.mp3 *.flac *.wav *.m4a)"
)
return Path(fpath[0]) if fpath[0] != "" else ""
@staticmethod
def repopulate_box(box, items, random=False):
"""
Resets a box and adds a list of items. Pass a list of (item, data) pairs instead to join
data to the items
"""
box.blockSignals(True)
box.clear()
for item in items:
item = list(item) if isinstance(item, tuple) else [item]
box.addItem(str(item[0]), *item[1:])
if len(items) > 0:
box.setCurrentIndex(np.random.randint(len(items)) if random else 0)
box.setDisabled(len(items) == 0)
box.blockSignals(False)
def populate_browser(self, datasets_root: Path, recognized_datasets: List, level: int,
random=True):
# Select a random dataset
if level <= 0:
if datasets_root is not None:
datasets = [datasets_root.joinpath(d) for d in recognized_datasets]
datasets = [d.relative_to(datasets_root) for d in datasets if d.exists()]
self.browser_load_button.setDisabled(len(datasets) == 0)
if datasets_root is None or len(datasets) == 0:
msg = "Warning: you d" + ("id not pass a root directory for datasets as argument" \
if datasets_root is None else "o not have any of the recognized datasets" \
" in %s" % datasets_root)
self.log(msg)
msg += ".\nThe recognized datasets are:\n\t%s\nFeel free to add your own. You " \
"can still use the toolbox by recording samples yourself." % \
("\n\t".join(recognized_datasets))
print(msg, file=sys.stderr)
self.random_utterance_button.setDisabled(True)
self.random_speaker_button.setDisabled(True)
self.random_dataset_button.setDisabled(True)
self.utterance_box.setDisabled(True)
self.speaker_box.setDisabled(True)
self.dataset_box.setDisabled(True)
self.browser_load_button.setDisabled(True)
self.auto_next_checkbox.setDisabled(True)
return
self.repopulate_box(self.dataset_box, datasets, random)
# Select a random speaker
if level <= 1:
speakers_root = datasets_root.joinpath(self.current_dataset_name)
speaker_names = [d.stem for d in speakers_root.glob("*") if d.is_dir()]
self.repopulate_box(self.speaker_box, speaker_names, random)
# Select a random utterance
if level <= 2:
utterances_root = datasets_root.joinpath(
self.current_dataset_name,
self.current_speaker_name
)
utterances = []
for extension in ['mp3', 'flac', 'wav', 'm4a']:
utterances.extend(Path(utterances_root).glob("**/*.%s" % extension))
utterances = [fpath.relative_to(utterances_root) for fpath in utterances]
self.repopulate_box(self.utterance_box, utterances, random)
def browser_select_next(self):
index = (self.utterance_box.currentIndex() + 1) % len(self.utterance_box)
self.utterance_box.setCurrentIndex(index)
@property
def current_encoder_fpath(self):
return self.encoder_box.itemData(self.encoder_box.currentIndex())
@property
def current_synthesizer_fpath(self):
return self.synthesizer_box.itemData(self.synthesizer_box.currentIndex())
@property
def current_vocoder_fpath(self):
return self.vocoder_box.itemData(self.vocoder_box.currentIndex())
def populate_models(self, encoder_models_dir: Path, synthesizer_models_dir: Path,
vocoder_models_dir: Path):
# Encoder
encoder_fpaths = list(encoder_models_dir.glob("*.pt"))
if len(encoder_fpaths) == 0:
raise Exception("No encoder models found in %s" % encoder_models_dir)
self.repopulate_box(self.encoder_box, [(f.stem, f) for f in encoder_fpaths])
# Synthesizer
synthesizer_fpaths = list(synthesizer_models_dir.glob("**/*.pt"))
if len(synthesizer_fpaths) == 0:
raise Exception("No synthesizer models found in %s" % synthesizer_models_dir)
self.repopulate_box(self.synthesizer_box, [(f.stem, f) for f in synthesizer_fpaths])
# Vocoder
vocoder_fpaths = list(vocoder_models_dir.glob("**/*.pt"))
vocoder_items = [(f.stem, f) for f in vocoder_fpaths] + [("Griffin-Lim", None)]
self.repopulate_box(self.vocoder_box, vocoder_items)
@property
def selected_utterance(self):
return self.utterance_history.itemData(self.utterance_history.currentIndex())
def register_utterance(self, utterance: Utterance):
self.utterance_history.blockSignals(True)
self.utterance_history.insertItem(0, utterance.name, utterance)
self.utterance_history.setCurrentIndex(0)
self.utterance_history.blockSignals(False)
if len(self.utterance_history) > self.max_saved_utterances:
self.utterance_history.removeItem(self.max_saved_utterances)
self.play_button.setDisabled(False)
self.generate_button.setDisabled(False)
self.synthesize_button.setDisabled(False)
def log(self, line, mode="newline"):
if mode == "newline":
self.logs.append(line)
if len(self.logs) > self.max_log_lines:
del self.logs[0]
elif mode == "append":
self.logs[-1] += line
elif mode == "overwrite":
self.logs[-1] = line
log_text = '\n'.join(self.logs)
self.log_window.setText(log_text)
self.app.processEvents()
def set_loading(self, value, maximum=1):
self.loading_bar.setValue(value * 100)
self.loading_bar.setMaximum(maximum * 100)
self.loading_bar.setTextVisible(value != 0)
self.app.processEvents()
def populate_gen_options(self, seed, trim_silences):
if seed is not None:
self.random_seed_checkbox.setChecked(True)
self.seed_textbox.setText(str(seed))
self.seed_textbox.setEnabled(True)
else:
self.random_seed_checkbox.setChecked(False)
self.seed_textbox.setText(str(0))
self.seed_textbox.setEnabled(False)
if not trim_silences:
self.trim_silences_checkbox.setChecked(False)
self.trim_silences_checkbox.setDisabled(True)
def update_seed_textbox(self):
if self.random_seed_checkbox.isChecked():
self.seed_textbox.setEnabled(True)
else:
self.seed_textbox.setEnabled(False)
def reset_interface(self):
self.draw_embed(None, None, "current")
self.draw_embed(None, None, "generated")
self.draw_spec(None, "current")
self.draw_spec(None, "generated")
self.draw_umap_projections(set())
self.set_loading(0)
self.play_button.setDisabled(True)
self.generate_button.setDisabled(True)
self.synthesize_button.setDisabled(True)
self.vocode_button.setDisabled(True)
self.replay_wav_button.setDisabled(True)
self.export_wav_button.setDisabled(True)
[self.log("") for _ in range(self.max_log_lines)]
def __init__(self):
## Initialize the application
self.app = QApplication(sys.argv)
super().__init__(None)
self.setWindowTitle("MockingBird GUI")
self.setWindowIcon(QtGui.QIcon('toolbox\\assets\\mb.png'))
self.setWindowFlag(Qt.WindowMinimizeButtonHint, True)
self.setWindowFlag(Qt.WindowMaximizeButtonHint, True)
## Main layouts
# Root
root_layout = QGridLayout()
self.setLayout(root_layout)
# Browser
browser_layout = QGridLayout()
root_layout.addLayout(browser_layout, 0, 0, 1, 8)
# Generation
gen_layout = QVBoxLayout()
root_layout.addLayout(gen_layout, 0, 8)
# Visualizations
vis_layout = QVBoxLayout()
root_layout.addLayout(vis_layout, 1, 0, 2, 8)
# Output
output_layout = QGridLayout()
vis_layout.addLayout(output_layout, 0)
# Projections
self.projections_layout = QVBoxLayout()
root_layout.addLayout(self.projections_layout, 1, 8, 2, 2)
## Projections
# UMap
fig, self.umap_ax = plt.subplots(figsize=(3, 3), facecolor="#F0F0F0")
fig.subplots_adjust(left=0.02, bottom=0.02, right=0.98, top=0.98)
self.projections_layout.addWidget(FigureCanvas(fig))
self.umap_hot = False
self.clear_button = QPushButton("Clear")
self.projections_layout.addWidget(self.clear_button)
## Browser
# Dataset, speaker and utterance selection
i = 0
source_groupbox = QGroupBox('Source(源音频)')
source_layout = QGridLayout()
source_groupbox.setLayout(source_layout)
browser_layout.addWidget(source_groupbox, i, 0, 1, 4)
self.dataset_box = QComboBox()
source_layout.addWidget(QLabel("Dataset(数据集):"), i, 0)
source_layout.addWidget(self.dataset_box, i, 1)
self.random_dataset_button = QPushButton("Random")
source_layout.addWidget(self.random_dataset_button, i, 2)
i += 1
self.speaker_box = QComboBox()
source_layout.addWidget(QLabel("Speaker(说话者)"), i, 0)
source_layout.addWidget(self.speaker_box, i, 1)
self.random_speaker_button = QPushButton("Random")
source_layout.addWidget(self.random_speaker_button, i, 2)
i += 1
self.utterance_box = QComboBox()
source_layout.addWidget(QLabel("Utterance(音频):"), i, 0)
source_layout.addWidget(self.utterance_box, i, 1)
self.random_utterance_button = QPushButton("Random")
source_layout.addWidget(self.random_utterance_button, i, 2)
i += 1
source_layout.addWidget(QLabel("Use(使用):"), i, 0)
self.browser_load_button = QPushButton("Load Above(加载上面)")
source_layout.addWidget(self.browser_load_button, i, 1, 1, 2)
self.auto_next_checkbox = QCheckBox("Auto select next")
self.auto_next_checkbox.setChecked(True)
source_layout.addWidget(self.auto_next_checkbox, i+1, 1)
self.browser_browse_button = QPushButton("Browse(打开本地)")
source_layout.addWidget(self.browser_browse_button, i, 3)
self.record_button = QPushButton("Record(录音)")
source_layout.addWidget(self.record_button, i+1, 3)
i += 2
# Utterance box
browser_layout.addWidget(QLabel("Current(当前):"), i, 0)
self.utterance_history = QComboBox()
browser_layout.addWidget(self.utterance_history, i, 1)
self.play_button = QPushButton("Play(播放)")
browser_layout.addWidget(self.play_button, i, 2)
self.stop_button = QPushButton("Stop(暂停)")
browser_layout.addWidget(self.stop_button, i, 3)
i += 1
model_groupbox = QGroupBox('Models(模型选择)')
model_layout = QHBoxLayout()
model_groupbox.setLayout(model_layout)
browser_layout.addWidget(model_groupbox, i, 0, 1, 4)
# Model and audio output selection
self.encoder_box = QComboBox()
model_layout.addWidget(QLabel("Encoder:"))
model_layout.addWidget(self.encoder_box)
self.synthesizer_box = QComboBox()
model_layout.addWidget(QLabel("Synthesizer:"))
model_layout.addWidget(self.synthesizer_box)
self.vocoder_box = QComboBox()
model_layout.addWidget(QLabel("Vocoder:"))
model_layout.addWidget(self.vocoder_box)
#Replay & Save Audio
i = 0
output_layout.addWidget(QLabel("Toolbox Output:"), i, 0)
self.waves_cb = QComboBox()
self.waves_cb_model = QStringListModel()
self.waves_cb.setModel(self.waves_cb_model)
self.waves_cb.setToolTip("Select one of the last generated waves in this section for replaying or exporting")
output_layout.addWidget(self.waves_cb, i, 1)
self.replay_wav_button = QPushButton("Replay")
self.replay_wav_button.setToolTip("Replay last generated vocoder")
output_layout.addWidget(self.replay_wav_button, i, 2)
self.export_wav_button = QPushButton("Export")
self.export_wav_button.setToolTip("Save last generated vocoder audio in filesystem as a wav file")
output_layout.addWidget(self.export_wav_button, i, 3)
self.audio_out_devices_cb=QComboBox()
i += 1
output_layout.addWidget(QLabel("Audio Output"), i, 0)
output_layout.addWidget(self.audio_out_devices_cb, i, 1)
## Embed & spectrograms
vis_layout.addStretch()
gridspec_kw = {"width_ratios": [1, 4]}
fig, self.current_ax = plt.subplots(1, 2, figsize=(10, 2.25), facecolor="#F0F0F0",
gridspec_kw=gridspec_kw)
fig.subplots_adjust(left=0, bottom=0.1, right=1, top=0.8)
vis_layout.addWidget(FigureCanvas(fig))
fig, self.gen_ax = plt.subplots(1, 2, figsize=(10, 2.25), facecolor="#F0F0F0",
gridspec_kw=gridspec_kw)
fig.subplots_adjust(left=0, bottom=0.1, right=1, top=0.8)
vis_layout.addWidget(FigureCanvas(fig))
for ax in self.current_ax.tolist() + self.gen_ax.tolist():
ax.set_facecolor("#F0F0F0")
for side in ["top", "right", "bottom", "left"]:
ax.spines[side].set_visible(False)
## Generation
self.text_prompt = QPlainTextEdit(default_text)
gen_layout.addWidget(self.text_prompt, stretch=1)
self.generate_button = QPushButton("Synthesize and vocode")
gen_layout.addWidget(self.generate_button)
layout = QHBoxLayout()
self.synthesize_button = QPushButton("Synthesize only")
layout.addWidget(self.synthesize_button)
self.vocode_button = QPushButton("Vocode only")
layout.addWidget(self.vocode_button)
gen_layout.addLayout(layout)
layout_seed = QGridLayout()
self.random_seed_checkbox = QCheckBox("Random seed:")
self.random_seed_checkbox.setToolTip("When checked, makes the synthesizer and vocoder deterministic.")
layout_seed.addWidget(self.random_seed_checkbox, 0, 0)
self.seed_textbox = QLineEdit()
self.seed_textbox.setMaximumWidth(80)
layout_seed.addWidget(self.seed_textbox, 0, 1)
self.trim_silences_checkbox = QCheckBox("Enhance vocoder output")
self.trim_silences_checkbox.setToolTip("When checked, trims excess silence in vocoder output."
" This feature requires `webrtcvad` to be installed.")
layout_seed.addWidget(self.trim_silences_checkbox, 0, 2, 1, 2)
self.style_slider = QSlider(Qt.Horizontal)
self.style_slider.setTickInterval(1)
self.style_slider.setFocusPolicy(Qt.NoFocus)
self.style_slider.setSingleStep(1)
self.style_slider.setRange(-1, 9)
self.style_value_label = QLabel("-1")
self.style_slider.setValue(-1)
layout_seed.addWidget(QLabel("Style:"), 1, 0)
self.style_slider.valueChanged.connect(lambda s: self.style_value_label.setNum(s))
layout_seed.addWidget(self.style_value_label, 1, 1)
layout_seed.addWidget(self.style_slider, 1, 3)
self.token_slider = QSlider(Qt.Horizontal)
self.token_slider.setTickInterval(1)
self.token_slider.setFocusPolicy(Qt.NoFocus)
self.token_slider.setSingleStep(1)
self.token_slider.setRange(3, 9)
self.token_value_label = QLabel("5")
self.token_slider.setValue(4)
layout_seed.addWidget(QLabel("Accuracy(精度):"), 2, 0)
self.token_slider.valueChanged.connect(lambda s: self.token_value_label.setNum(s))
layout_seed.addWidget(self.token_value_label, 2, 1)
layout_seed.addWidget(self.token_slider, 2, 3)
self.length_slider = QSlider(Qt.Horizontal)
self.length_slider.setTickInterval(1)
self.length_slider.setFocusPolicy(Qt.NoFocus)
self.length_slider.setSingleStep(1)
self.length_slider.setRange(1, 10)
self.length_value_label = QLabel("2")
self.length_slider.setValue(2)
layout_seed.addWidget(QLabel("MaxLength(最大句长):"), 3, 0)
self.length_slider.valueChanged.connect(lambda s: self.length_value_label.setNum(s))
layout_seed.addWidget(self.length_value_label, 3, 1)
layout_seed.addWidget(self.length_slider, 3, 3)
gen_layout.addLayout(layout_seed)
self.loading_bar = QProgressBar()
gen_layout.addWidget(self.loading_bar)
self.log_window = QLabel()
self.log_window.setAlignment(Qt.AlignBottom | Qt.AlignLeft)
gen_layout.addWidget(self.log_window)
self.logs = []
gen_layout.addStretch()
## Set the size of the window and of the elements
max_size = QDesktopWidget().availableGeometry(self).size() * 0.5
self.resize(max_size)
## Finalize the display
self.reset_interface()
self.show()
def start(self):
self.app.exec_()