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PaddleSpeech/paddlespeech/server
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add info, test=doc
3 years ago
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bin add streaming tts demos, test=doc 3 years ago
conf add info, test=doc 3 years ago
engine add streaming tts demos, test=doc 3 years ago
restful add stream tts server, test=doc 3 years ago
tests add streaming tts demos, test=doc 3 years ago
utils fix code, test=doc 3 years ago
ws update the online protocal note, test=doc 3 years ago
README.md updata readme, test=doc 3 years ago
README_cn.md updata readme, test=doc 3 years ago
__init__.py add server cls, test=doc 3 years ago
base_commands.py added engine type and asr inference , test=doc 3 years ago
download.py added engine type and asr inference , test=doc 3 years ago
entry.py added engine type and asr inference , test=doc 3 years ago
executor.py add server demo, test=doc 3 years ago
util.py format code 3 years ago

README.md

PaddleSpeech Server Command Line

(简体中文|English)

The simplest approach to use PaddleSpeech Server including server and client.

PaddleSpeech Server

Help

paddlespeech_server help

Start the server

First set the service-related configuration parameters, similar to ./conf/application.yaml. Set engine_list, which represents the speech tasks included in the service to be started Then start the service:

paddlespeech_server start --config_file ./conf/application.yaml

PaddleSpeech Client

Help

paddlespeech_client help

Access speech recognition services

paddlespeech_client asr --server_ip 127.0.0.1 --port 8090 --input input_16k.wav

Access text to speech services

paddlespeech_client tts --server_ip 127.0.0.1 --port 8090 --input "你好,欢迎使用百度飞桨深度学习框架!" --output output.wav

Access audio classification services

paddlespeech_client cls --server_ip 127.0.0.1 --port 8090 --input input.wav

Online ASR Server

Lanuch online asr server

paddlespeech_server start --config_file conf/ws_conformer_application.yaml

Access online asr server

paddlespeech_client asr_online  --server_ip 127.0.0.1 --port 8090 --input input_16k.wav

Online TTS Server

Lanuch online tts server

paddlespeech_server start --config_file conf/tts_online_application.yaml

Access online tts server

paddlespeech_client tts_online  --server_ip 127.0.0.1 --port 8092 --input "您好,欢迎使用百度飞桨深度学习框架!" --output output.wav