II304: Kelantan Dialect Voice Instruction Recognition (KeDiVoInRe)

Nur Syahmina Ahmad Azhar Universiti Teknikal Malaysia Melaka (UTeM)

MIIX24 | Intermediate Innovator

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The KeDiVoInRe (Kelantan Dialect Voice Instruction Recognition) system is an innovative technology designed to enable effective communication between users who speak the Kelantan dialect and indoor human helper robots. Leveraging advanced image profile sound processing techniques, KeDiVoInRe accurately recognizes and interprets spoken instructions in the Kelantan dialect, facilitating seamless interaction and task execution. This pioneering solution addresses the need for more inclusive and culturally sensitive technology by accommodating regional linguistic variations. By analyzing the unique phonetic and prosodic characteristics of the Kelantan dialect, KeDiVoInRe ensures robust performance and reliability in real-world indoor environments. The system's integration into human helper robots enhances accessibility and usability for individuals who primarily speak the Kelantan dialect, empowering them to access essential services and support functions with ease. Through its innovative approach and practical applications, KeDiVoInRe represents a significant advancement in the field of voice recognition technology, contributing to the development of more inclusive and user-friendly human-robot interaction systems tailored to diverse linguistic contexts.