History

xiongxinlei c78653850b join streaming asr and punc server, test=doc		2 years ago
..
bin	join streaming asr and punc server, test=doc	2 years ago
conf	…
engine	renew ds2 model, test=doc	2 years ago
restful	…
tests	update the asr server api, test=doc	2 years ago
utils	fix speechx core dump when stop immediately after start	2 years ago
ws	update the ws asr response, final_result to result, test=doc	2 years ago
README.md	…
README_cn.md	…
__init__.py	…
base_commands.py	…
download.py	…
entry.py	…
executor.py	…
util.py	fix speechx ws server to return dummpy partial result, fix hang for ws client	2 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