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101 lines
3.2 KiB
101 lines
3.2 KiB
2 years ago
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import base64
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import json
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import os
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import time
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import requests
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from paddlespeech.server.utils.audio_process import pcm2wav
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def save_audio(buffer, audio_path) -> bool:
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if args.save_path.endswith("pcm"):
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with open(args.save_path, "wb") as f:
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f.write(buffer)
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elif args.save_path.endswith("wav"):
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with open("./tmp.pcm", "wb") as f:
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f.write(buffer)
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pcm2wav("./tmp.pcm", audio_path, channels=1, bits=16, sample_rate=24000)
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os.system("rm ./tmp.pcm")
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else:
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print("Only supports saved audio format is pcm or wav")
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return False
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return True
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def test(args):
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params = {
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"text": args.text,
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"spk_id": args.spk_id,
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"speed": args.speed,
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"volume": args.volume,
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"sample_rate": args.sample_rate,
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"save_path": ''
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}
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buffer = b''
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flag = 1
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url = "http://" + str(args.server) + ":" + str(
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args.port) + "/paddlespeech/streaming/tts"
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st = time.time()
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html = requests.post(url, json.dumps(params), stream=True)
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for chunk in html.iter_content(chunk_size=1024):
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chunk = base64.b64decode(chunk) # bytes
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if flag:
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first_response = time.time() - st
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print(f"首包响应：{first_response} s")
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flag = 0
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buffer += chunk
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final_response = time.time() - st
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duration = len(buffer) / 2.0 / 24000
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print(f"尾包响应：{final_response} s")
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print(f"音频时长：{duration} s")
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print(f"RTF: {final_response / duration}")
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if args.save_path is not None:
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if save_audio(buffer, args.save_path):
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print("音频保存至：", args.save_path)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument(
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'--text',
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type=str,
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default="您好，欢迎使用语音合成服务。",
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help='A sentence to be synthesized')
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parser.add_argument('--spk_id', type=int, default=0, help='Speaker id')
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parser.add_argument('--speed', type=float, default=1.0, help='Audio speed')
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parser.add_argument(
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'--volume', type=float, default=1.0, help='Audio volume')
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parser.add_argument(
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'--sample_rate',
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type=int,
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default=0,
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help='Sampling rate, the default is the same as the model')
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parser.add_argument(
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"--server", type=str, help="server ip", default="127.0.0.1")
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parser.add_argument("--port", type=int, help="server port", default=8092)
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parser.add_argument(
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"--save_path", type=str, help="save audio path", default=None)
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args = parser.parse_args()
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test(args)
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