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An isolated word recognition system based on a low-complexity parametrization procedure

  • Autores: Héctor Rulot Segovia Árbol académico, Enrique Vidal Ruiz Árbol académico, Francisco Casacuberta Nolla Árbol académico
  • Localización: Questiió: Quaderns d'Estadística, Sistemes, Informatica i Investigació Operativa, ISSN 0210-8054, Vol. 8, Nº. 4, 1984, págs. 179-196
  • Idioma: inglés
  • Títulos paralelos:
    • Un sistema de reconocimiento de palabras aisladas basado en un procedimiento de parametrización de baja complejidad
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  • Resumen
    • An Isolated Word Recognition System is presented in this paper which uses a parametrization scheme based on the two-level clipped signal Autocorrelation Function. The system prototype runs on a 64 kby. partition of a general-purpose minicomputer with quite small specific hardware requirements and, for moderate sized dictionaries (= 40 words), gives 95-98% recognition rates with response times better than two times real time. The system uses claasical Dynamic Programming word-matching, and its main-aimed applications are the implementation of low-cost microprocessor-based speech devices and the incorporation of Isolated Word Recognizers among the software utilities of general-purpose (mini-micro) computers. The main system features are discussed and formal evaluation tests are presented


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