Speech synthesis is the artificial production of human speech using technology to generate spoken language from text or other input data. This area of research focuses on developing algorithms and techniques to convert written text into spoken words, with the goal of creating natural-sounding speech that can be used in applications such as virtual assistants, navigation systems, and accessibility tools for individuals with communication disabilities. Researchers in this field explore various methods for synthesizing speech, such as concatenative synthesis (using pre-recorded speech samples), formant synthesis (based on mathematical models of vocal tract), and neural network-based approaches. The ultimate goal of speech synthesis research is to produce high-quality, natural-sounding speech that is indistinguishable from human speech.