Editing Advancements in AI TTS (2020s) (section)

=== 3. Concatenative TTS ===
In the AI era, Concatenative TTS systems have seen new developments aimed at improving their performance and adaptability. These developments include hybrid approaches that combine Concatenative TTS with neural network-driven TTS for higher quality and more natural synthesized speech. Additionally, there is a growing trend toward larger speech databases, enabling better voice selection for smoother and more natural speech synthesis across various text contexts. Real-time applications have seen improvements in reducing latency, making Concatenative TTS more practical for real-time communication, voice assistants, and automated voice responses. Personalized TTS, which leverages AI, allows users to customize synthesized voices to their preferences, with potential applications in education, entertainment, and assistive technologies. Moreover, Concatenative TTS systems are extending their support to multiple languages and dialects, making them applicable to diverse global markets. They also find increasing use in specialized fields such as medicine, law, and science to ensure accurate pronunciation of domain-specific terms.<ref>Soumya Priyadarsini Panda, Ajit Kumar Nayak(2015). A Rule-Based Concatenative Approach to Speech Synthesis in Indian Language Text-to-Speech Systems Intelligent Computing, ''Communication and Devices'', Volume 309

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