MUL Tl liNGUAL SYNTHESISER ASSESSMENT USING SEMANTICALL V UNPREDICTABLE SENTENCES

نویسندگان

  • C. Benoit
  • A. van Erp
  • M. Grice
  • V. Hazan
  • U. Jekosch
چکیده

The use of semantically unpredictable sentences was investigated as part of a standard test battery for the eval uation of synthetic speech within the ESPRIT SAM project. Such sentences were randomly generated using five syntactic structures and word lists for each syntactic category. Initial results of experiments run in English, French and German are presented.

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تاریخ انتشار 2006