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33760ee · Mar 7, 2023

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README.md

MultiNet6

Step 1. Data preparation

For English, words are used as units. Please prepare a list of commands written in a text file commands_en.txt of the following format:

# command_id command_sentence
1 TELL ME A JOKE
2 MAKE A COFFEE

For Chinese, pinyin are used as units. multinet_pinyin.py help to get Pinyin of Chinese. Please prepare a list of commands written in a text file commands_cn.txt of the following format:

# command_id command_sentence
1 da kai kong tiao
2 guan bi kong tiao

Step 2. Move created files

  1. Move your commands_en.txt or commands_cn.txt to /model/multinet_model/fst/

MultiNet5

1. Install g2p_en, please refer to https://pypi.org/project/g2p-en/

pip install g2p_en

2. Run multinet_g2p.py

python multinet_g2p.py -t "hello world,hi ESP;turn on the light;turn off the light"

------
in: hello world,hi ESP;turn on the light;turn off the light
out: hcLb WkLD,hi fST;TkN nN jc LiT;TkN eF jc LiT;

3. Add speech commands

3.1 add speech commands by menuconfig
idf.py menuconfig
ESP Speech Recognition -> Add speech commands
3.2 add speech commands by reset function
// Function definition
// typedef void (*esp_mn_iface_op_reset_t)(model_iface_data_t *model_data, char *command_str, char *err_phrase_id);

// "," is used to split different phrase with same command id
// ";" is used to split different command id
char *new_commands_str="hcLb WkLD,hi fST;TkN nN jc LiT;TkN eF jc LiT;"  //
char err_id[256];
multinet->reset(model_data, new_commands_str, err_id);
// hello world,hi ESP -> commond id=0
// turn on the light -> commond id=1
// turn off the light -> commond id=2