This competency demonstration report details the development of an automatic voice calling system for the Urdu language. The project aimed to create a system that identifies speech patterns and executes spoken commands in Urdu. The report covers the project's background, objectives, the student's role and responsibilities, including converting speech signals to phonetic transcriptions, classifying sounds, and processing signals using the HTK toolkit and MFCC techniques. It details the steps taken, from command preparation and grammar creation to dictionary setup, data recording, transcription, and coding. The student identified issues related to Urdu phonology and proposed solutions, highlighting the project's innovative aspects and collaborative work. The report concludes with a project overview and the student's contributions to the project, emphasizing the goal of achieving the required accuracy for the system.
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