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PaddleSpeech/paddlespeech/server
Hui Zhang 37c6106ee0
Merge pull request #1848 from zh794390558/spx
3 years ago
..
bin Merge pull request #1836 from Honei/punc 3 years ago
conf add vector server, test=doc 3 years ago
engine Merge pull request #1848 from zh794390558/spx 3 years ago
restful update the vector cli for server, test=doc 3 years ago
tests update the asr server api, test=doc 3 years ago
utils add vector server, test=doc 3 years ago
ws streaming asr server add time stamp, test=doc 3 years ago
README.md updata readme, test=doc 3 years ago
README_cn.md format 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 fix speechx ws server to return dummpy partial result, fix hang for ws client 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