# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import argparse import base64 import io import json import os import random import time import numpy as np import requests import soundfile from paddlespeech.server.utils.audio_process import wav2pcm # Request and response def tts_client(args): """ Request and response Args: text: A sentence to be synthesized outfile: Synthetic audio file """ url = "http://" + str(args.server) + ":" + str( args.port) + "/paddlespeech/tts" request = { "text": args.text, "spk_id": args.spk_id, "speed": args.speed, "volume": args.volume, "sample_rate": args.sample_rate, "save_path": args.output } response = requests.post(url, json.dumps(request)) response_dict = response.json() wav_base64 = response_dict["result"]["audio"] audio_data_byte = base64.b64decode(wav_base64) # from byte samples, sample_rate = soundfile.read( io.BytesIO(audio_data_byte), dtype='float32') # transform audio outfile = args.output if outfile.endswith(".wav"): soundfile.write(outfile, samples, sample_rate) elif outfile.endswith(".pcm"): temp_wav = str(random.getrandbits(128)) + ".wav" soundfile.write(temp_wav, samples, sample_rate) wav2pcm(temp_wav, outfile, data_type=np.int16) os.system("rm %s" % (temp_wav)) else: print("The format for saving audio only supports wav or pcm") return len(samples), sample_rate if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument( '--text', type=str, default="您好,欢迎使用语音合成服务。", help='A sentence to be synthesized') parser.add_argument('--spk_id', type=int, default=0, help='Speaker id') parser.add_argument('--speed', type=float, default=1.0, help='Audio speed') parser.add_argument( '--volume', type=float, default=1.0, help='Audio volume') parser.add_argument( '--sample_rate', type=int, default=0, help='Sampling rate, the default is the same as the model') parser.add_argument( '--output', type=str, default="./out.wav", help='Synthesized audio file') parser.add_argument( "--server", type=str, help="server ip", default="127.0.0.1") parser.add_argument("--port", type=int, help="server port", default=8090) args = parser.parse_args() st = time.time() try: samples_length, sample_rate = tts_client(args) time_consume = time.time() - st duration = samples_length / sample_rate rtf = time_consume / duration print("Synthesized audio successfully.") print("Inference time: %f" % (time_consume)) print("The duration of synthesized audio: %f" % (duration)) print("The RTF is: %f" % (rtf)) except BaseException: print("Failed to synthesized audio.")