Two fine-tuned LLMs predict SSML prosody tags that raise French TTS naturalness from a 3.20 to 3.87 MOS.
Going Retro: Astonishingly Simple Yet Effective Rule-based Prosody Modelling for Speech Synthesis Simulating Emotion Dimensions
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abstract
We introduce two rule-based models to modify the prosody of speech synthesis in order to modulate the emotion to be expressed. The prosody modulation is based on speech synthesis markup language (SSML) and can be used with any commercial speech synthesizer. The models as well as the optimization result are evaluated against human emotion annotations. Results indicate that with a very simple method both dimensions arousal (.76 UAR) and valence (.43 UAR) can be simulated.
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Improving French Synthetic Speech Quality via SSML Prosody Control
Two fine-tuned LLMs predict SSML prosody tags that raise French TTS naturalness from a 3.20 to 3.87 MOS.