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Merge pull request #1737 from Honei/server
[asr][websocket]add streaming asr demo
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# This is the parameter configuration file for PaddleSpeech Serving. | ||
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################################################################################# | ||
# SERVER SETTING # | ||
################################################################################# | ||
host: 0.0.0.0 | ||
port: 8090 | ||
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# The task format in the engin_list is: <speech task>_<engine type> | ||
# task choices = ['asr_online', 'tts_online'] | ||
# protocol = ['websocket', 'http'] (only one can be selected). | ||
# websocket only support online engine type. | ||
protocol: 'websocket' | ||
engine_list: ['asr_online'] | ||
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################################################################################# | ||
# ENGINE CONFIG # | ||
################################################################################# | ||
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################################### ASR ######################################### | ||
################### speech task: asr; engine_type: online ####################### | ||
asr_online: | ||
model_type: 'deepspeech2online_aishell' | ||
am_model: # the pdmodel file of am static model [optional] | ||
am_params: # the pdiparams file of am static model [optional] | ||
lang: 'zh' | ||
sample_rate: 16000 | ||
cfg_path: | ||
decode_method: | ||
force_yes: True | ||
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am_predictor_conf: | ||
device: # set 'gpu:id' or 'cpu' | ||
switch_ir_optim: True | ||
glog_info: False # True -> print glog | ||
summary: True # False -> do not show predictor config | ||
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chunk_buffer_conf: | ||
frame_duration_ms: 80 | ||
shift_ms: 40 | ||
sample_rate: 16000 | ||
sample_width: 2 | ||
window_n: 7 # frame | ||
shift_n: 4 # frame | ||
window_ms: 20 # ms | ||
shift_ms: 10 # ms |
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demos/streaming_asr_server/conf/ws_conformer_application.yaml
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# This is the parameter configuration file for PaddleSpeech Serving. | ||
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################################################################################# | ||
# SERVER SETTING # | ||
################################################################################# | ||
host: 0.0.0.0 | ||
port: 8090 | ||
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# The task format in the engin_list is: <speech task>_<engine type> | ||
# task choices = ['asr_online', 'tts_online'] | ||
# protocol = ['websocket', 'http'] (only one can be selected). | ||
# websocket only support online engine type. | ||
protocol: 'websocket' | ||
engine_list: ['asr_online'] | ||
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################################################################################# | ||
# ENGINE CONFIG # | ||
################################################################################# | ||
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################################### ASR ######################################### | ||
################### speech task: asr; engine_type: online ####################### | ||
asr_online: | ||
model_type: 'conformer_online_multicn' | ||
am_model: # the pdmodel file of am static model [optional] | ||
am_params: # the pdiparams file of am static model [optional] | ||
lang: 'zh' | ||
sample_rate: 16000 | ||
cfg_path: | ||
decode_method: | ||
force_yes: True | ||
device: # cpu or gpu:id | ||
am_predictor_conf: | ||
device: # set 'gpu:id' or 'cpu' | ||
switch_ir_optim: True | ||
glog_info: False # True -> print glog | ||
summary: True # False -> do not show predictor config | ||
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chunk_buffer_conf: | ||
window_n: 7 # frame | ||
shift_n: 4 # frame | ||
window_ms: 25 # ms | ||
shift_ms: 10 # ms | ||
sample_rate: 16000 | ||
sample_width: 2 |
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# start the streaming asr service | ||
paddlespeech_server start --config_file ./conf/ws_conformer_application.yaml |
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# download the test wav | ||
wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav | ||
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# read the wav and pass it to service | ||
python3 websocket_client.py --wavfile ./zh.wav |
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# Copyright (c) 2022 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. | ||
#!/usr/bin/python | ||
# -*- coding: UTF-8 -*- | ||
import argparse | ||
import asyncio | ||
import codecs | ||
import logging | ||
import os | ||
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from paddlespeech.cli.log import logger | ||
from paddlespeech.server.utils.audio_handler import ASRAudioHandler | ||
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def main(args): | ||
logger.info("asr websocket client start") | ||
handler = ASRAudioHandler("127.0.0.1", 8090) | ||
loop = asyncio.get_event_loop() | ||
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# support to process single audio file | ||
if args.wavfile and os.path.exists(args.wavfile): | ||
logger.info(f"start to process the wavscp: {args.wavfile}") | ||
result = loop.run_until_complete(handler.run(args.wavfile)) | ||
result = result["asr_results"] | ||
logger.info(f"asr websocket client finished : {result}") | ||
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# support to process batch audios from wav.scp | ||
if args.wavscp and os.path.exists(args.wavscp): | ||
logging.info(f"start to process the wavscp: {args.wavscp}") | ||
with codecs.open(args.wavscp, 'r', encoding='utf-8') as f,\ | ||
codecs.open("result.txt", 'w', encoding='utf-8') as w: | ||
for line in f: | ||
utt_name, utt_path = line.strip().split() | ||
result = loop.run_until_complete(handler.run(utt_path)) | ||
result = result["asr_results"] | ||
w.write(f"{utt_name} {result}\n") | ||
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if __name__ == "__main__": | ||
logger.info("Start to do streaming asr client") | ||
parser = argparse.ArgumentParser() | ||
parser.add_argument( | ||
"--wavfile", | ||
action="store", | ||
help="wav file path ", | ||
default="./16_audio.wav") | ||
parser.add_argument( | ||
"--wavscp", type=str, default=None, help="The batch audios dict text") | ||
args = parser.parse_args() | ||
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main(args) |
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([简体中文](./README_cn.md)|English) | ||
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# Speech Service | ||
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## Introduction | ||
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This document introduces a client for streaming asr service: microphone | ||
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## Usage | ||
### 1. Install | ||
Refer [Install](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). | ||
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**paddlepaddle 2.2.1** 或以上版本。 | ||
It is recommended to use **paddlepaddle 2.2.1** or above. | ||
You can choose one way from meduim and hard to install paddlespeech. | ||
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### 2. Prepare config File | ||
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The input of ASR client demo should be a WAV file(`.wav`), and the sample rate must be the same as the model. | ||
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Here are sample files for thisASR client demo that can be downloaded: | ||
```bash | ||
wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav | ||
``` | ||
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### 2. Streaming ASR Client Usage | ||
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- microphone | ||
``` | ||
python microphone_client.py | ||
``` |
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