Solution: Use of improved multilingual speech synthesis technology
The Speech 2.5 model effectively solves the common mechanical sense problem in multilingual scenarios by optimizing the natural rhythmicity on mainstream languages such as Mandarin Chinese and English. The realization methods include:
- Adoption of advanced deep neural network architecture to enhance the modeling capability of different linguistic rhythmic features
- Optimize the pauses, accents and intonation of speech synthesis to better match human speech habits
- Trained with extensive linguistic data to ensure a balance of pronunciation accuracy and speech fluency
The solution is particularly suitable for application scenarios that require natural voice interaction, such as intelligent customer service and audiobook production.
This answer comes from the articleMiniMax Releases Speech 2.5: Speech Synthesis Technology Breaks Through in Multilingualism and Tone ReproductionThe
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