Researchers have developed a method to control intonation in text-to-speech (TTS) systems by manipulating the model's internal states. The study focused on the nuclear tune, which differentiates assertions from questions, and found that the transformer backbone's hidden state carries this prosodic information. By applying steering vectors derived from imitation-based intonation patterns, the system could successfully alter the intonation of synthesized speech, though precise control beyond broad rising or falling tendencies remained challenging. AI
IMPACT This research could lead to more natural and expressive synthesized speech, improving user experience in various applications.
RANK_REASON Academic paper detailing a novel method for controlling prosody in TTS. [lever_c_demoted from research: ic=1 ai=1.0]
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