Virtual Booth

Speech delay among children requires early and consistent intervention to support communication, social development, and learning. However, many families face difficulties accessing regular speech therapy due to high cost, limited therapists, long waiting time, and the lack of Malay-based home training tools. This project aims to develop a low-cost, portable, and Malay-centric speech training device that supports children with speech delay through interactive home-based practice. The proposed innovation uses an ESP32 microcontroller, RFID RC522 module, I2S MEMS microphone, speaker, LED indicators, and a Keyword Spotting model developed using Edge Impulse. Each RFID card represents a Malay word; when scanned, the device plays the correct pronunciation, allowing the child to listen and repeat the word. The child’s speech is captured by the microphone and processed locally using Edge AI to determine whether the pronunciation is correct. Immediate feedback is given through green or red LED indicators and audio responses such as encouragement or “try again” prompts. This device benefits children, parents, and therapists by encouraging repeated practice, improving pronunciation awareness, reducing dependence on frequent clinical sessions, and supporting parental involvement at home. Since the system works offline, it also provides faster response, better privacy, and reliable use without internet connection. In conclusion, this project offers a practical and affordable assistive speech training tool that complements professional therapy and supports better Malay language development among children with speech delay.  

Keywords: Speech Delay, Malay Language, Edge AI, RFID, Home Therapy