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

=== 4. Prosody Modeling ===
Focusing on prosody, or the melody and rhythm of speech, prosody modeling has been a significant area of advancement. Research in modeling prosody has led to more Prosody and expressiveness enhancement by focusing on refining the prosody and expressiveness of synthesized speech. Advanced models now incorporate prosody-aware training<ref>Raitio, T., Li, J., & Seshadri, S. (2022). Hierarchical prosody modeling and control in non-autoregressive parallel neural TTS. ''ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)'', 7587–7591. <nowiki>https://ieeexplore.ieee.org/abstract/document/9746253/</nowiki></ref>, enabling TTS systems to convey emotions, nuances, and variations in pitch and rhythm more effectively, making the speech sound more natural and human-like.<ref>Vainio, M. (2001). ''Artificial neural network based prosody models for Finnish text-to-speech synthesis''. <nowiki>https://helda.helsinki.fi/bitstream/handle/10138/19873/artifici.pdf?sequence=2</nowiki></ref>