Current Tt System

Current Text-to-Speech (TTS) systems aim to synthesize high-quality, natural-sounding speech from text input, focusing on improving speech naturalness, prosodic diversity, and efficient training. Research emphasizes novel architectures like neural transducers and the use of techniques such as determinantal point processes to enhance prosody control and generate diverse speech samples, often incorporating self-supervised learning and advanced acoustic feature representations beyond traditional mel-spectrograms. These advancements are significant for applications ranging from virtual assistants and accessibility tools to improving the efficiency of keyword spotting model development by providing large, diverse datasets.