Designing an Automatic Speech Recognition System for the Minor Age Group

This Research paper presents the practical implementation of an Automatic Speech Recognition (ASR) system for minor age groups in the Punjabi language. Leveraging Deep Neural Network (DNN) techniques, the study focuses on developing and deploying an ASR system tailored to the linguistic needs of children and adolescents. Key aspects covered include data collection, model architecture specific to Punjabi phonetics, incorporation of age-appropriate language models, and the integration of robust content filtering. Insights from real-world user interactions underscore the significance of creating a secure and accessible voice technology environment for young Punjabi speakers, especially in educational and entertainment contexts.