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87 lines
2.3 KiB
87 lines
2.3 KiB
# PaddleSpeech Server Command Line
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([简体中文](./README_cn.md)|English)
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The simplest approach to use PaddleSpeech Server including server and client.
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## PaddleSpeech Server
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### Help
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```bash
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paddlespeech_server help
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```
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### Start the server
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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.
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**Note:** If the service can be started normally in the container, but the client access IP is unreachable, you can try to replace the `host` address in the configuration file with the local IP address.
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Then start the service:
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```bash
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paddlespeech_server start --config_file ./conf/application.yaml
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```
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## PaddleSpeech Client
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### Help
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```bash
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paddlespeech_client help
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```
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### Access speech recognition services
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```
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paddlespeech_client asr --server_ip 127.0.0.1 --port 8090 --input input_16k.wav
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```
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### Access text to speech services
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```bash
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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
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```
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### Access audio classification services
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```bash
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paddlespeech_client cls --server_ip 127.0.0.1 --port 8090 --input input.wav
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```
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## Online ASR Server
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### Lanuch online asr server
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```
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paddlespeech_server start --config_file conf/ws_conformer_application.yaml
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```
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### Access online asr server
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```
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paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input input_16k.wav
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```
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## Online TTS Server
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### Lanuch online tts server
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```
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paddlespeech_server start --config_file conf/tts_online_application.yaml
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```
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### Access online tts server
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```
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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
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```
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## Speaker Verification
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### Lanuch speaker verification server
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```
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paddlespeech_server start --config_file conf/vector_application.yaml
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```
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### Extract speaker embedding from aduio
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```
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paddlespeech_client vector --task spk --server_ip 127.0.0.1 --port 8090 --input 85236145389.wav
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```
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### Get score with speaker audio embedding
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```
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paddlespeech_client vector --task score --server_ip 127.0.0.1 --port 8090 --enroll 123456789.wav --test 85236145389.wav
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```
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