This is a demo implementing a use case for Speech Emotion Recognition, using a Raspberry Pi 3 Model B+ and ReSpeaker Mic Array v2.0. The demo is a Python script that can be loaded in to continuously read audio incoming from the ReSpeaker and send API requests to SERaaS which then outputs emotions back.
SERaaS is a Final Year Project for Waterford Institute of Technology developed by Wei Kit Wong, which aims to provide a Speech Emotion Recognition as a Web API service. This is achieved by Machine Learning to build the SER classification model; the User Management Service to provide authentication features, and the API Service to deploy it all as a service.
- pyaudio - Perform audio operations
You can use the following commands in the terminal to run the demo;
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git clone https://github.com/SERaaS/ReSpeaker-Audio-Extractor-Demo.git- Download the repository to your computer. -
cd respeaker-audio-extractor-demo- Move to the demo folder. -
pip install -r requirements.txt- Ensure you have all necessary dependencies installed (requires Python). -
Create the missing files as defined below.
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python main.py- Run the program.
A ./seraasURLHandler.py file is missing from the repo that you must create before running the program.
./seraasURLHandler.py
# This is your own SERaaS API endpoint URL
endpoint = "http://????/analyse/????"