SENSOR BASED SPEECH RECOGNIZER SELECTION, ADAPTATION AND COMBINATION

    公开(公告)号:AU2003293646A1

    公开(公告)日:2004-07-14

    申请号:AU2003293646

    申请日:2003-10-31

    Applicant: IBM

    Abstract: A method and respective system for operating a speech recognition system, in which a plurality of recognizer programs are accessible to be activated for speech recognition, and are combined on a per need basis in order to efficiently improve the results of speech recognition done by a single recognizer. In order to adapt such system to the dynamically changing acoustic conditions of various operating environments and to the particular requirements of running in embedded systems having only a limited computing power available, it is proposed to a) collect selection base data characterizing speech recognition boundary conditions, e.g. the speaker person and the environmental noise, etc., with sensor means, and b) using program-controlled arbiter means for evaluating the collected data, e.g., a decision engine including software mechanism and a physical sensor, to select the best suited recognizer or a combination thereof out of the plurality of available recognizers.

    SENSOR BASED SPEECH RECOGNIZER SELECTION, ADAPTATION AND COMBINATION

    公开(公告)号:CA2507999C

    公开(公告)日:2013-09-03

    申请号:CA2507999

    申请日:2003-10-31

    Applicant: IBM

    Abstract: The present invention relates to a method and respective system for operating a speech recognition system, in which a plurality of recognizer programs are accessible to be activated for speech recognition, and are combined on a per need basis in order to efficiently improve the results of speech recognition done by a single recognizer. To adapt to dynamically changing acoustic conditions of various operating environments and to embedded systems having only a limited computing power available, it is proposed to a) collect (210,220,230,240) selection base data characterizing speech recognition boundary conditions, e.g. the speaker person and the environmental noise, etc., with sensor means, b) using (260) program-controlled arbiter means for evaluating the collected data, e.g., a decision engine including software mechanism and a physical sensor, to select (290) the best suited recognizer or a combination thereof out of the plurality of available recognizers.

    SENSOR BASED SPEECH RECOGNIZER SELECTION, ADAPTATION AND COMBINATION

    公开(公告)号:CA2507999A1

    公开(公告)日:2004-07-08

    申请号:CA2507999

    申请日:2003-10-31

    Applicant: IBM

    Abstract: The present invention relates to a method and respective system for operatin g a speech recognition system, in which a plurality of recognizer programs are accessible to be activated for speech recognition, and are combined on a per need basis in order to efficiently improve the results of speech recognition done by a single recognizer. To adapt to dynamically changing acoustic conditions of various operating environments and to embedded systems having only a limited computing power available, it is proposed to a) collect (210,220,230,240) selection base data characterizing speech recognition boundary conditions, e.g. the speaker person and the environmental noise, etc., with sensor means, b) using (260) program-controlled arbiter means for evaluating the collected data, e.g., a decision engine including software mechanism and a physical sensor, to select (290) the best suited recognizer or a combination thereof out of the plurality of available recognizers.

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