Efficient Phone-based Recognition Engines for Chinese and English Isolated Command Applications

نویسندگان

  • Xavier MENÉNDEZ-PIDAL
  • Lei DUAN
  • Jingwen LU
  • Beatriz DUKES
  • Michael EMONTS
  • Gustavo HERNÁNDEZ ÁBREGO
  • Lex OLORENSHAW
چکیده

In this paper we present a flexible and efficient approach to perform an accurate speech recognition interface for isolated command applications in three different languages: Mandarin, Cantonese and English. The paper analyzes and discusses the different trade-offs necessary to obtain an accurate, real-time system with low memory requirements. Areas addressed are design of the training database, and Hidden Markov Model (HMM) units used by the recognizer (monophones versus triphones).

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تاریخ انتشار 2002