Portable Voice Assistant with STM32N6
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This project aims to create a portable, autonomous voice assistant leveraging the STM32N6 kit and its advanced AI capabilities. The goal is to develop an economical and practical solution that can understand and execute simple voice commands without requiring an Internet connection. This approach utilizes the STM32N6's local processing power, making the device fast, secure, and privacy-respecting.
The voice assistant can recognize commands such as "Turn on the LED," "Turn off the LED," or "Play a sound." Once a command is identified, the system responds with audio feedback via a speaker or visual confirmation with an LED. All functionalities are designed to be lightweight and efficient thanks to the embedded AI model.
Hardware Components:
STM32N6 Discovery Kit: Central processor for AI and command processing.
Microphone: Captures voice input (via the audio jack port).
Speaker: Provides auditory feedback to users.
LED: Visually indicates command status or execution.
Power Supply: LiPo battery or AA batteries for portability.
Breadboard and wiring: For rapid prototyping.
Technical Workflow:
A pre-trained voice recognition model is loaded into the STM32N6 (TensorFlow Lite format).
The microphone records audio, which is fed into the model to predict the command.
The recognized command triggers an action: turning on an LED, playing an audio file, or more.
Feedback is provided to the user via sound or light signals.
Potential Applications:
Simple home automation (light control, alarm activation).
Accessibility tool for individuals with mobility or visual impairments.
Educational tool for beginners exploring embedded AI.
Why Choose This Project? This project stands out due to its low cost, ease of implementation, and versatile applications. It is an ideal introduction to artificial intelligence on microcontrollers while showcasing the advanced features of the STM32N6 (audio interfaces, GPIO, AI optimization). Additionally, the portable voice assistant demonstrates the potential of AI for mobile use, serving as an excellent starting point for future improvements.
The voice assistant can recognize commands such as "Turn on the LED," "Turn off the LED," or "Play a sound." Once a command is identified, the system responds with audio feedback via a speaker or visual confirmation with an LED. All functionalities are designed to be lightweight and efficient thanks to the embedded AI model.
Hardware Components:
STM32N6 Discovery Kit: Central processor for AI and command processing.
Microphone: Captures voice input (via the audio jack port).
Speaker: Provides auditory feedback to users.
LED: Visually indicates command status or execution.
Power Supply: LiPo battery or AA batteries for portability.
Breadboard and wiring: For rapid prototyping.
Technical Workflow:
A pre-trained voice recognition model is loaded into the STM32N6 (TensorFlow Lite format).
The microphone records audio, which is fed into the model to predict the command.
The recognized command triggers an action: turning on an LED, playing an audio file, or more.
Feedback is provided to the user via sound or light signals.
Potential Applications:
Simple home automation (light control, alarm activation).
Accessibility tool for individuals with mobility or visual impairments.
Educational tool for beginners exploring embedded AI.
Why Choose This Project? This project stands out due to its low cost, ease of implementation, and versatile applications. It is an ideal introduction to artificial intelligence on microcontrollers while showcasing the advanced features of the STM32N6 (audio interfaces, GPIO, AI optimization). Additionally, the portable voice assistant demonstrates the potential of AI for mobile use, serving as an excellent starting point for future improvements.
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