CorentinJ

## Get the large corpus here if desired: https://puu.sh/InEMm.txt
## Save as "large_corpus.txt"

import sys
from functools import lru_cache
from itertools import groupby
from pathlib import Path
from typing import List

from phonemizer.backend import EspeakBackend

CorentinJ

# CONFIG -----------------------------------------------------------------------------------------------------------#

# Here are the input and output data paths (Note: you can override wav_path in preprocess.py)
wav_path = '/path/to/wav_files/'
data_path = 'data/'

# model ids are separate - that way you can use a new tts with an old wavernn and vice versa
# NB: expect undefined behaviour if models were trained on different DSP settings
voc_model_id = 'ljspeech_mol'

CorentinJ

from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from PyQt4.QtGui import *
import numpy as np
import sys


class TemplateUI(QDialog):
    def __init__(self):
        # Create the ui