def synthesize(speaker, input_file, output_file, params):
print("[Encoding]")
from io_modules.dataset import Dataset
from io_modules.dataset import Encodings
from models.encoder import Encoder
from trainers.encoder import Trainer
encodings = Encodings()
encodings.load('data/models/encoder.encodings')
encoder = Encoder(params, encodings, runtime=True)
encoder.load('data/models/rnn_encoder')
seq = create_lab_input(input_file, speaker)
mgc, att = encoder.generate(seq)
_render_spectrogram(mgc, output_file + '.png')
print("[Vocoding]")
from models.vocoder import Vocoder
from trainers.vocoder import Trainer
vocoder = Vocoder(params, runtime=True)
vocoder.load('data/models/rnn_vocoder')
import time
start = time.time()
signal = vocoder.synthesize(mgc,
batch_size=1000,
temperature=params.temperature)
stop = time.time()
sys.stdout.write(" execution time=" + str(stop - start))
sys.stdout.write('\n')
sys.stdout.flush()
from io_modules.dataset import DatasetIO
dio = DatasetIO()
enc = dio.b16_dec(signal, discreete=True)
dio.write_wave(output_file, enc, params.target_sample_rate)
def synthesize(speaker, input_file, output_file, params):
from models.vocoder import device
print(device)
print("[Encoding]")
from io_modules.dataset import Dataset
from io_modules.dataset import Encodings
from models.encoder import Encoder
from trainers.encoder import Trainer
encodings = Encodings()
encodings.load('data/models/encoder.encodings')
encoder = Encoder(params, encodings, runtime=True)
encoder.load('data/models/rnn_encoder')
seq = create_lab_input(input_file, speaker)
mgc, att = encoder.generate(seq)
_render_spectrogram(mgc, output_file + '.png')
print("[Vocoding]")
from models.vocoder import ParallelVocoder
from models.vocoder import Vocoder
vocoder = Vocoder(params)
vocoder.load('data/models/nn_vocoder')
pvocoder = ParallelVocoder(params, vocoder=vocoder)
pvocoder.load('data/models/pnn_vocoder')
import time
start = time.time()
import torch
with torch.no_grad():
signal = pvocoder.synthesize(mgc, batch_size=params.batch_size)
stop = time.time()
sys.stdout.write(" execution time=" + str(stop - start))
sys.stdout.write('\n')
sys.stdout.flush()
from io_modules.dataset import DatasetIO
dio = DatasetIO()
dio.write_wave(output_file, signal / 32768.0, params.target_sample_rate, dtype=signal.dtype)
