End to End Tt System

End-to-end text-to-speech (TTS) systems aim to directly synthesize speech from text without intermediate steps, improving efficiency and potentially quality. Current research focuses on enhancing models like VITS, addressing challenges such as efficient inference speed (through techniques like iSTFT), robust performance with limited data (via transfer learning and automatic prosody annotation), and stable pitch generation, particularly for emotional speech. These advancements are significant for expanding TTS capabilities to low-resource languages and enabling more natural and expressive speech synthesis across diverse applications.