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ISSN 2063-5346
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LEARNING PRACTICES OF TALKING AND SINGING IN ROBOTS IN ORIGINAL VOICE AND PERSPECTIVE LANGUAGE

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Dr Samia Tariq, Tooba Qaiser, Dr Aqsa Mustqeem, Dr Iqra Sultan, Dr Saliha Irshad, Zara Fatima, Dr Fahmida Khatoon, Kashif Lodhi
» doi: 10.53555/ecb/2023.12.Si12.221

Abstract

Introduction: This study is about the learning methods of robots. They can learn and adapt to skills easily after listening to other people. They use different types of algorithms for robots to learn languages, sing, etc. very easily. Methodology: Robots do not have organs like humans, but their features are all controlled by motors, including their voice. Voice recognition, speaking languages, and many other tasks that a human being can do with the help of motors. We generate that type of robot, which helps to recognize the voice of a human being and speak it like it is. They help them reproduce the voices they have heard and then speak to them by themselves. Results: In this study, we have seen that robots can easily recognize and learn the patterns of human languages and implement them. In this paper, we check out the mechanical keys and their construction in robots, which help them generate speech. They can learn by listening to the speech of humans. Conclusion: We recognize the implementation of techniques and speech training for robots that help them speak like humans.

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