Caryio / SpeechRecognition

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

Implementation of Speech Recognition on PYNQ Z2

This project was started in 2022.02 and finished in 2022.06.

Content

• Abstract
• Preparation
• Approach
• How to Reproduce
• Thanks

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.