Automated meaningful phrase clustering
First Claim
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1. A method for automated task classification which operates on a task objective of a user, the task objective being expressed in natural speech of the user, comprising:
- selecting meaningful phrases from a plurality of transcribed speech utterances;
clustering selected ones of the meaningful phrases which occur in similar semantic contexts into meaningful phrase clusters;
detecting meaningful phrase clusters present in input speech utterances; and
making task-type classification decisions based on the detected meaningful phrase clusters in the input speech utterances.
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Abstract
A system and method for automated task selection is provided where a selected task is identified from the natural speech of the user making the selection. The system and method incorporate the selection of meaningful phrases through the use of a test for significance. The selected meaningful phrases are then clustered. The meaningful phrase clusters are input to a speech recognizer that determines whether any meaningful phrase clusters are present in the input speech. Task-type decisions are then made on the basis of the recognized meaningful phrase clusters.
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Citations
30 Claims
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1. A method for automated task classification which operates on a task objective of a user, the task objective being expressed in natural speech of the user, comprising:
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selecting meaningful phrases from a plurality of transcribed speech utterances; clustering selected ones of the meaningful phrases which occur in similar semantic contexts into meaningful phrase clusters; detecting meaningful phrase clusters present in input speech utterances; and making task-type classification decisions based on the detected meaningful phrase clusters in the input speech utterances. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for automated call-type classification which operates on the call routing objective of a user, the call-routing objective being expressed in natural speech of the user, comprising:
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selecting meaningful phrases from a plurality of transcribed speech utterances, clustering selected ones of the meaningful phrases which occur in similar semantic contexts into meaningful phrase clusters; detecting meaningful phrase clusters present in input speech utterances; and making call-type classification decisions based on the detected meaningful phrase clusters in the input speech utterances. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. An automated task classification system which operates on task objectives of a user, the task objectives being expressed in natural speech of the user, comprising:
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a meaningful phrase selector that selects a plurality of meaningful phrases from a set of speech utterances, each of the meaningful phrases being selected based on one of a predetermined set of the task objectives; a meaningful phrase clustering device for clustering selected meaningful phrases which occur in similar semantic contexts into meaningful phrase clusters; an input recognizing device for detecting any of the clustered meaningful phrases in input speech of the user, the input recognizing device having as an input the meaningful phrases clustered by the meaningful phrase clustering device; and a classification device responsive to an input of the detected meaningful phrase clusters for making a classification decision based on the detected meaningful phrase clusters as to one of the set of predetermined task objectives. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30)
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Specification