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How to achieve naturalness optimization for cross-lingual speech synthesis?

2025-09-10 2.0 K
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Multilingual Speech Naturalness Enhancement Program

Cross-language TTS faces challenges such as unnatural pronunciation and hard intonation, and Orate offers the following solutions in combination with advanced technologies such as ElevenLabs:

  • Dedicated multilingual model: e.g. 'multilingual_v2' model optimized for cross-language scenarios, supports 28 languages
  • Pronunciator Presets: Built-in professional speaker configurations such as 'Aria' to ensure accurate language characterization
  • Emotional parameterization: Emotional parameters such as speed of speech, pitch, etc. can be adjusted through the API

Implementation Steps:

  1. Importing elevenlabs adapters
  2. Select the multilingual_v2 model and the appropriate pronouncer.
  3. Set prompt words for different languages (e.g. [ZH] Chinese text [EN] English text).
  4. Option to add prosody parameter to adjust intonation change

Experience has shown that the method generates multilingual speech MOS scores up to 4.2 (on a 5-point scale), which is close to the level of real people.

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