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    DEEPFAKE TEXT TO SPEECH (TTS)
    (Library Information Services, CUI Lahore, 2024) Muhammad Talha; FA20-BCS-007; Dr Wajahat Mehmood Qazi
    This project aims to develop an application that can generate voice clones based on provided text using a trained model, we named this app Deepcloning.ai. Many Text-to- Speech models exist, they are limited to specific voices. Our focus is on training a model with an English dataset to replicate a particular person's voice. Once trained, the model can produce Deepfakes voices for the provided text, offering advantages in education, cost- effective advertising, and the media industry. However, it's essential to acknowledge the potential for misuse, especially in serious crimes and impersonation, necessitating subsequent efforts for detection and prevention. This project's primary objective is Deepfakes text to speech creation, with ethical and security considerations in mind.