DPP-TTS: Diversifying prosodic features of speech via determinantal point processes (2023.emnlp-main)
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| Challenge: | Recent advances in deep generative models have succeeded in synthesizing human-like speech. |
| Approach: | They propose a text-to-speech model with a prosody diversifying module that considers perceptual diversity in each sample and among multiple samples. |
| Outcome: | The proposed model generates speech samples with more diversified prosody than baselines in the side-by-side comparison test considering the naturalness of speech at the same time. |
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| Challenge: | Text-to-speech (TTS) models have been developed to generate high-quality speech. |
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