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Advancements in AI TTS (2020s)
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=== 6. Voice Cloning === Voice cloning models are trained to capture the specific speaker's pitch, tone, and speech characteristics, making the generated speech more similar to the specific speaker. This can be achieved using deep learning techniques, such as Generative Adversarial Networks (GANs). With this approach, we saw more advancements in creating personalized and customizable voices since the 2020s. TTS systems can now mimic specific voices or allow users to tailor the characteristics of the generated speech, fostering more engaging and adaptive human-computer interactions.<ref>Pecora, A. E. (2023). ''Data driven: AI Voice Cloning'' [PhD Thesis, Politecnico di Torino]. <nowiki>https://webthesis.biblio.polito.it/27738/</nowiki></ref>
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