# -*- coding: utf-8 -*-
# /usr/bin/python2
'''
By kyubyong park. kbpark.linguist@gmail.com.
https://www.github.com/kyubyong/tacotron
'''
from __future__ import print_function
from hyperparams import Hyperparams as hp
import tqdm
from data_load import load_data
import tensorflow as tf
from train import Graph
from utils import spectrogram2wav
from scipy.io.wavfile import write
import os
import numpy as np
def synthesize():
if not os.path.exists(hp.sampledir): os.mkdir(hp.sampledir)
# Load graph
g = Graph(mode="synthesize"); print("Graph loaded")
# Load data
texts = load_data(mode="synthesize")
saver = tf.train.Saver()
with tf.Session() as sess:
saver.restore(sess, tf.train.latest_checkpoint(hp.logdir)); print("Restored!")
# Feed Forward
## mel
y_hat = np.zeros((texts.shape[0], 200, hp.n_mels*hp.r), np.float32) # hp.n_mels*hp.r
for j in tqdm.tqdm(range(200)):
_y_hat = sess.run(g.y_hat, {g.x: texts, g.y: y_hat})
y_hat[:, j, :] = _y_hat[:, j, :]
## mag
mags = sess.run(g.z_hat, {g.y_hat: y_hat})
for i, mag in enumerate(mags):
print("File {}.wav is being generated ...".format(i+1))
audio = spectrogram2wav(mag)
write(os.path.join(hp.sampledir, '{}.wav'.format(i+1)), hp.sr, audio)
if __name__ == '__main__':
synthesize()
print("Done")
