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Method and system for statistic-based distance definition in text-to-speech conversion

  • US 7,590,540 B2
  • Filed: 09/29/2005
  • Issued: 09/15/2009
  • Est. Priority Date: 09/30/2004
  • Status: Active Grant
First Claim
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1. A method comprising the steps of:

  • analyzing text that is to be subjected to text-to-speech conversion to obtain text with descriptive prosody annotation;

    performing clustering for samples in the obtained text through the use of a decision tree, wherein clustering comprises combining two branches of the decision tree for clustering samples if the two branches are similar for further clustering;

    generating a Gaussian Mixture Model for each cluster to determine the distance between the sample and the corresponding Gaussian Mixture Model;

    using electronic logic circuitry to identify a sample according to the distance; and

    transforming the identified sample into synthesized speech.

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