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It is claimed that the future sustainability of the media industry relies on inclusive innovation, AI literacy, and policies that balance economic efficiency and social responsibility.
These findings support the need for speech specific properties in AI-based WLTs and, if sufficiently adapted to language learning in general, AI-based WLTs might be a useful complement when learning languages particularly as for written and receptive skills.
The novelty of this work lies not in any single algorithmic component but in the complete, reproducible, open-source integration of detection, recognition, database matching, logging, and alerting into one deployable framework adapted to local plate formats and campus operational requirements.
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