Language Models for Name Recognition in Spanish Spoken Dialogue Systems

نویسندگان

  • German Tapia
  • Ivan V. Meza
  • Luis Pineda
چکیده

Current advances on dialogue system require the development of language models for automatic speech recognition that are not only domain or task specific but also sub-task specific (e.g. name, age or price recognition). This paper presents a method for the creation of language models for name recognition at the greeting stage of a conversation in spoken Spanish. In particular, we focus on the introductory phrases (e.g., mi nombre es John/my name is John). The method relies in the construction of a corpus for names, and we study two variants; in one names are uniformly distributed; in the other, names are represented in a manner consistent with their frequency in web-searches.

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تاریخ انتشار 2010