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O10-1016.pdf
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🔗 Source: preview.aclanthology.org
📊 Size: 863 KB
👤 Author: khchen
⬇️ Downloads: 65

Summary

The system uses three types of parallel speech data with different speech rates to train context-dependent HMMs and decision trees for pause prediction. The system can adjust the speech rate by interpolating the weights of the HMMs and decision trees. The paper also discusses the importance of pause prediction in speech synthesis and proposes a method to estimate pauses using a decision tree. The system is evaluated through objective and subjective tests, and the results show that the system can produce more natural speech when the weights of the HMMs and decision trees are matched. The paper concludes that the proposed system is more suitable for human-machine interaction than traditional single-rate text-to-speech systems.

Description

The system uses three types of parallel speech data with different speech rates to train context-dependent HMMs and decision trees for pause prediction.

Technical Information

  • File Format: PDF
  • File Size: 863 KB
  • Pages: 14
  • Language: EN
  • Author: khchen
  • Total Downloads: 65
  • Last Updated: 19 hours ago

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