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Going Retro: Astonishingly Simple Yet Effective Rule-based Prosody Modelling for Speech Synthesis Simulating Emotion Dimensions

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arxiv 2307.02132 v1 pith:5COGGMYE submitted 2023-07-05 cs.SD eess.AS

Felix Burkhardt , Uwe Reichel , Florian Eyben , Björn Schuller This is my paper
classification cs.SDeess.AS
keywords speechemotionprosodysynthesisdimensionsmodelsrule-basedsimple
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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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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Improving French Synthetic Speech Quality via SSML Prosody Control

    cs.CL 2025-08 unverdicted novelty 6.0 of 10

    Two fine-tuned LLMs predict SSML prosody tags that raise French TTS naturalness from a 3.20 to 3.87 MOS.

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