MegaTTS3 provides fine-grained accent control, which is achieved through two key parameters:
Description of core parameters
- p_w (pronunciation weight)::
Controls pronunciation standardization, with smaller values (near 1.0) retaining more of the original accent, and larger values (e.g., 2.5) tending to standardize pronunciation - t_w (tone weights)::
Controls timbre similarity, usually set 0-3 units higher than p_w
Typical usage scenarios
Preservation of accent characteristics
Suitable for dialect preservation or specific scenario needs:--p_w 1.0 --t_w 3.0
Standardized Pronunciation
Suitable for educational or broadcasting scenarios:--p_w 2.5 --t_w 2.5
Practice Recommendations
- Chinese proposal p_w range 1.0-2.0
- English recommended p_w range 1.0-3.0
- You can fix t_w=3.0 first and adjust p_w separately to observe the effect
- Parameter combinations need to be fine-tuned to specific speech data
This answer comes from the articleMegaTTS3: A Lightweight Model for Synthesizing Chinese and English SpeechThe
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