8000 GitHub - thotnd173389/SpeechCommand: The project aims to use keyword spotting streaming in a real-time offline embedded system using RaspberryPi.
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The project aims to use keyword spotting streaming in a real-time offline embedded system using RaspberryPi.

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thotnd173389/SpeechCommand

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SpeechCommand


Description

The project aims to use keyword recognition streaming in a real-time offline embedded system using RaspberryPi3.

How to run

Requirements

pip install -U -r requirement.txt

Keyword recognition streaming

  • Run with Tensorflow
python tensor_speech_command.py
  • Run with TensorflowLite
python speech_command.py
  • The keyword recognizing process has two stages.

Stage 1: Recognize the trigger keyword.

 - The trigger word is Marvin.
 - When you speak Marvin, if the system recognizes the trigger word, the chime sound is played.
 - Move to stage 2 

Stage 2: Recognize the command keywords.

 - The command keywords are zero, one, two, three, four, five, six, seven, eight, nine, up, down, on, off.
 - The system will recognize the command keyword in control_time s.
 - If the system recognizes the command keyword, it will execute the corresponding command for that keyword.
 - Until the time for this process is greater than control time, it will execute stage 1.

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The project aims to use keyword spotting streaming in a real-time offline embedded system using RaspberryPi.

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