Speech-To-Speech Artificial Intelligence As A New Stage In Automated Communication

The fast development of AI technologies has led to the emergence of different speech models. One of these models are the speech-to-speech models (S2S) that represent a new stage in automated communication. This paper analyzes its technological foundations, such as encoder-decoder architectures, multi lingual acoustic modeling, real-time speech synthesis and prosody transfer. It outlines key application s in education, customer service, healthcare, fintech, and digital accessibility. Big importance is given to the advantages of these models, like better naturalness, reduced latency, and preservation of emotion and speaker characteristics. The paper also discusses current challenges related to model accuracy, language adaptation, data privacy, and ethical use. The analysis concludes that speech-to-speech AI represents a transformative step towards seamless human-machine interaction and opens new opportunities for personalized and context-aware communication technologies.