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This document outlines the design and implementation of a TinyML-based Voice Keyword Spotting System for hands-free control using embedded devices. The system utilizes a lightweight Convolutional Neural Network (CNN) for real-time speech recognition, operating efficiently on low-power microcontrollers like Arduino Nano 33 BLE Sense and ESP32. It aims to provide offline voice recognition capabilities while addressing challenges related to latency, power consumption, and user privacy.
- Author
- trsaraswathitrsaraswathi
- Language
- EN