You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
101 lines
3.2 KiB
101 lines
3.2 KiB
# 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 json
|
|
import os
|
|
import time
|
|
|
|
import requests
|
|
|
|
from paddlespeech.server.utils.audio_process import pcm2wav
|
|
|
|
|
|
def save_audio(buffer, audio_path) -> bool:
|
|
if args.save_path.endswith("pcm"):
|
|
with open(args.save_path, "wb") as f:
|
|
f.write(buffer)
|
|
elif args.save_path.endswith("wav"):
|
|
with open("./tmp.pcm", "wb") as f:
|
|
f.write(buffer)
|
|
pcm2wav("./tmp.pcm", audio_path, channels=1, bits=16, sample_rate=24000)
|
|
os.system("rm ./tmp.pcm")
|
|
else:
|
|
print("Only supports saved audio format is pcm or wav")
|
|
return False
|
|
|
|
return True
|
|
|
|
|
|
def test(args):
|
|
params = {
|
|
"text": args.text,
|
|
"spk_id": args.spk_id,
|
|
"speed": args.speed,
|
|
"volume": args.volume,
|
|
"sample_rate": args.sample_rate,
|
|
"save_path": ''
|
|
}
|
|
|
|
buffer = b''
|
|
flag = 1
|
|
url = "http://" + str(args.server) + ":" + str(
|
|
args.port) + "/paddlespeech/streaming/tts"
|
|
st = time.time()
|
|
html = requests.post(url, json.dumps(params), stream=True)
|
|
for chunk in html.iter_content(chunk_size=1024):
|
|
chunk = base64.b64decode(chunk) # bytes
|
|
if flag:
|
|
first_response = time.time() - st
|
|
print(f"首包响应:{first_response} s")
|
|
flag = 0
|
|
buffer += chunk
|
|
|
|
final_response = time.time() - st
|
|
duration = len(buffer) / 2.0 / 24000
|
|
|
|
print(f"尾包响应:{final_response} s")
|
|
print(f"音频时长:{duration} s")
|
|
print(f"RTF: {final_response / duration}")
|
|
|
|
if args.save_path is not None:
|
|
if save_audio(buffer, args.save_path):
|
|
print("音频保存至:", args.save_path)
|
|
|
|
|
|
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(
|
|
"--server", type=str, help="server ip", default="127.0.0.1")
|
|
parser.add_argument("--port", type=int, help="server port", default=8092)
|
|
parser.add_argument(
|
|
"--save_path", type=str, help="save audio path", default=None)
|
|
|
|
args = parser.parse_args()
|
|
test(args)
|