Automated extraction of semantic content and generation of a structured document from speech
First Claim
1. A method comprising steps of:
- (A) identifying a probabilistic language model including a plurality of probabilistic language models associated with a plurality of sub-structures of a document; and
(B) using a speech recognition decoder to apply the probabilistic language model to a spoken audio stream to produce a document including content organized into the plurality of sub-structures, wherein the content in each of the plurality of sub-structures is produced by recognizing speech using the probabilistic language model associated with the sub-structure.
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Abstract
Techniques are disclosed for automatically generating structured documents based on speech, including identification of relevant concepts and their interpretation. In one embodiment, a structured document generator uses an integrated process to generate a structured textual document (such as a structured textual medical report) based on a spoken audio stream. The spoken audio stream may be recognized using a language model which includes a plurality of sub-models arranged in a hierarchical structure. Each of the sub-models may correspond to a concept that is expected to appear in the spoken audio stream. Different portions of the spoken audio stream may be recognized using different sub-models. The resulting structured textual document may have a hierarchical structure that corresponds to the hierarchical structure of the language sub-models that were used to generate the structured textual document.
225 Citations
95 Claims
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1. A method comprising steps of:
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(A) identifying a probabilistic language model including a plurality of probabilistic language models associated with a plurality of sub-structures of a document; and
(B) using a speech recognition decoder to apply the probabilistic language model to a spoken audio stream to produce a document including content organized into the plurality of sub-structures, wherein the content in each of the plurality of sub-structures is produced by recognizing speech using the probabilistic language model associated with the sub-structure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 47, 48, 49, 50)
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24. An apparatus comprising:
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first identification means for identifying a probabilistic language model including a plurality of probabilistic language models associated with a plurality of sub-structures of a document;
document production means for using a speech recognition decoder to apply the probabilistic language model to a spoken audio stream to produce a document including content organized into the plurality of sub-structures, wherein the content in each of the plurality of sub-structures is produced by recognizing speech using the probabilistic language model associated with the sub-structure. - View Dependent Claims (25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46)
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51. A data structure comprising:
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a plurality of language models logically organized in a hierarchy, the plurality of language models including a first language model and a second language model;
wherein the first language model is a parent of the second language model in the hierarchy;
wherein the first language model is suitable for recognizing speech representing a first concept associated with a substructure of a document; and
wherein the second language model is suitable for recognizing speech representing a second concept associated with a subset of the substructure of the document. - View Dependent Claims (52, 53, 54, 55)
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56. A method comprising steps of:
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(A) identifying a probabilistic language model including a plurality of probabilistic language models associated with a plurality of concepts logically organized in a first hierarchy;
(B) using a speech recognition decoder to apply the probabilistic language model to a spoken audio stream to produce a document including content organized into a plurality of sub-structures logically organized in a second hierarchy having a logical structure defined by a path through the first hierarchy. - View Dependent Claims (57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75)
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76. An apparatus comprising:
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identification means for identifying a probabilistic language model including a plurality of probabilistic language models associated with a plurality of concepts logically organized in a first hierarchy; and
document production means for using a speech recognition decoder to apply the probabilistic language model to a spoken audio stream to produce a document including content organized into a plurality of sub-structures logically organized in a second hierarchy having a logical structure defined by a path through the first hierarchy. - View Dependent Claims (77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95)
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Specification