([简体中文](./README_cn.md)|English)
# Customized Auto Speech Recognition
## introduction
In some cases, we need to recognize the specific rare words with high accuracy. eg: address recognition in navigation apps. customized ASR can slove those issues.
this demo is customized for expense account, which need to recognize rare address.
the scripts are in https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/speechx/examples/custom_asr
* G with slot: 打车到 "address_slot"。
* this is address slot wfst, you can add the address which want to recognize.
* after replace operation, G = fstreplace(G_with_slot, address_slot), we will get the customized graph.
## Usage
### 1. Installation
install paddle:2.2.2 docker.
```
sudo docker pull registry.baidubce.com/paddlepaddle/paddle:2.2.2
sudo docker run --privileged --net=host --ipc=host -it --rm -v $PWD:/paddle --name=paddle_demo_docker registry.baidubce.com/paddlepaddle/paddle:2.2.2 /bin/bash
```
### 2. demo
* run websocket_server.sh. This script will download resources and libs, and launch the service.
```
cd /paddle
bash websocket_server.sh
```
this script run in two steps:
1. download the resources.tar.gz, those direcotries will be found in resource directory.
model: acustic model
graph: the decoder graph (TLG.fst)
lib: some libs
bin: binary
data: audio and wav.scp
2. websocket_server_main launch the service.
some params:
port: the service port
graph_path: the decoder graph path
model_path: acustic model path
please refer other params in those files:
PaddleSpeech/speechx/speechx/decoder/param.h
PaddleSpeech/speechx/examples/ds2_ol/websocket/websocket_server_main.cc
* In other terminal, run script websocket_client.sh, the client will send data and get the results.
```
bash websocket_client.sh
```
websocket_client_main will launch the client, the wav_scp is the wav set, port is the server service port.
* result:
In the log of client, you will see the message below:
```
0513 10:58:13.827821 41768 recognizer_test_main.cc:56] wav len (sample): 70208
I0513 10:58:13.884493 41768 feature_cache.h:52] set finished
I0513 10:58:24.247171 41768 paddle_nnet.h:76] Tensor neml: 10240
I0513 10:58:24.247249 41768 paddle_nnet.h:76] Tensor neml: 10240
LOG ([5.5.544~2-f21d7]:main():decoder/recognizer_test_main.cc:90) the result of case_10 is 五月十二日二十二点三十六分加班打车回家四十一元
```
