Natural speech contains a wide variety of expressions, making it much more difficult to recognize than specified verbal commands. We have developed a method using a language model template to generate language models capable of recognizing manifold expressions. This template method is designed on the basis of the modification structure of keywords. The evaluation results for a language model generated with this method showed that it allowed 630,000 command patterns with a high recognition rate of 96%. The results also revealed that the processing speed and memory used for speech recognition with this language model were at a practical level.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Network Language Model Generated from a Modification Structure-based Language Model Template


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE World Congress & Exhibition ; 2009



    Erscheinungsdatum :

    2009-04-20




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Network language model generated from a modification structure-based language model template

    Katsuragawa,K. / Saitoh,D. / Oono,T. et al. | Kraftfahrwesen | 2009


    2009-01-1478 Network Language Model Generated from a Modification Structure-based Language Model Template

    Katsuragawa, K. / Saitoh, D. / Oono, T. et al. | British Library Conference Proceedings | 2009


    Natural speech recognition using a language model generated from a template based on modification structures

    Katsuragawa, K. / Saitoh, D. / Oono, T. et al. | British Library Conference Proceedings | 2008


    Template-based synchronized multimedia integration language authoring tool [3964-16]

    Shim, S. S. Y. / Wang, Y. / Chane, I.-C. et al. | British Library Conference Proceedings | 2000


    Charging pile fault diagnosis model based on large language model

    WANG NING / LYU YELIN / WANG HAO et al. | Europäisches Patentamt | 2024

    Freier Zugriff