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Implementation of Speech Recognition on PYNQ Z2

This project was started in 2022.02 and finished in 2022.06.

Content

Abstract

Independently implement a speech recognition Python project. Score: 95/100.

Preparation

  • PYNQ Z2 board
  • ReSpeaker
  • A computer with Jupyter Notebook

Approach

  1. Import all packages needed. Download the bitstream.
  2. Configure the audio in/out and HDMI in/out.
  3. Load and encode.
  4. Detect and recognize the voices.
  5. Release the cache and memory.

How to Reproduce

  1. Download the file Speech_Recognition.ipynb.
  2. Turn on the PYNQ Z2 board; ReSpeaker. And make sure all components work well.
  3. Run the code.

Thanks

  • Many, many thanks to my teacher, Prof. Pan.
  • Thanks to TA, Dr. Wang and Dr. Huang.

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A Speech-To-Text project based on PYNQ Z2 board

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