A Lightweight on-the-fly Capitalization System for Automatic Speech Recognition

نویسندگان

  • Fernando Batista
  • Nuno Mamede
  • Diamantino Caseiro
  • Isabel Trancoso
چکیده

This paper describes a lightweight method for capitalizing speech transcriptions. Several resources were used, including a lexicon, newspaper written corpora and speech transcriptions. Different approaches were tested both generative and discriminative: finite state transducers, automatically built from Language Models; and maximum entropy models. Evaluation results are presented both for written newspaper corpora and speech transcriptions of broadcast news corpora.

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تاریخ انتشار 2007