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System and method for predicting prosodic parameters

  • US 7,136,816 B1
  • Filed: 12/24/2002
  • Issued: 11/14/2006
  • Est. Priority Date: 04/05/2002
  • Status: Active Grant
First Claim
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1. An automatic prosodic labeler for predicting prosodic parameters from annotated speech files, the automatic prosodic labeler comprising:

  • a first module that makes binary decisions about where to place accents and boundaries;

    a second module that predicts a plurality of fundamental frequency targets per syllable and that predicts a z-score for each phone; and

    a third module that labels speech with the binary decisions and that applies normalized duration features as acoustic features, wherein an iterative classification and regression tree (CART) growing process alternates between prosody prediction from text and prosody recognition from text plus speech to generate improved CARTs for predicting prosody parameters from preprocessed text.

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