LIBRARY OF EXISTING SPOKEN DIALOG DATA FOR USE IN GENERATING NEW NATURAL LANGUAGE SPOKEN DIALOG SYSTEMS
First Claim
1. A method comprising:
- collecting, via a plurality of industry specific spoken dialog systems and during a plurality of collection phases comprising respective defined periods of time, a plurality of utterances;
organizing, via a processor, the plurality of utterances into a plurality of datasets having call-type labels, wherein each dataset in the plurality of datasets pertains to a unique industrial sector in a plurality of industrial sectors; and
building a natural language spoken dialog system using the plurality of datasets and using a positive example utterance for each of the call-type labels.
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Accused Products
Abstract
A machine-readable medium may include a group of reusable components for building a spoken dialog system. The reusable components may include a group of previously collected audible utterances. A machine-implemented method to build a library of reusable components for use in building a natural language spoken dialog system may include storing a dataset in a database. The dataset may include a group of reusable components for building a spoken dialog system. The reusable components may further include a group of previously collected audible utterances. A second method may include storing at least one set of data. Each one of the at least one set of data may include ones of the reusable components associated with audible data collected during a different collection phase.
15 Citations
20 Claims
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1. A method comprising:
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collecting, via a plurality of industry specific spoken dialog systems and during a plurality of collection phases comprising respective defined periods of time, a plurality of utterances; organizing, via a processor, the plurality of utterances into a plurality of datasets having call-type labels, wherein each dataset in the plurality of datasets pertains to a unique industrial sector in a plurality of industrial sectors; and building a natural language spoken dialog system using the plurality of datasets and using a positive example utterance for each of the call-type labels. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system comprising:
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a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising; collecting, via a plurality of industry specific spoken dialog systems and during a plurality of collection phases comprising respective defined periods of time, a plurality of utterances; organizing the plurality of utterances into a plurality of datasets having call-type labels, wherein each dataset in the plurality of datasets pertains to a unique industrial sector in a plurality of industrial sectors; and building a natural language spoken dialog system using the plurality of datasets and using a positive example utterance for each of the call-type labels. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising:
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collecting, via a plurality of industry specific spoken dialog systems and during a plurality of collection phases comprising respective defined periods of time, a plurality of utterances; organizing the plurality of utterances into a plurality of datasets having call-type labels, wherein each dataset in the plurality of datasets pertains to a unique industrial sector in a plurality of industrial sectors; and building a natural language spoken dialog system using the plurality of datasets and using a positive example utterance for each of the call-type labels. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification