Contextual conversion platform
First Claim
1. A contextual conversion platform for implementation on a computing device configured to process content of a target for use with a text-to-speech engine, said contextual conversion platform comprising:
- a processing module for generating a spoken content input in response to the target, the processing module comprising,a first filter module for identifying a context identifier in the target, anda second filter module for delineating portions of the target comprising one or more target terms; and
a repository in communication with the processing module, the repository having entries that are organized according to a prioritized scheme, the entries comprising a substitution unit with an identified unit respecting the target terms in the delineated portions and a replacement unit corresponding to the identified unit,wherein the prioritized scheme assigns a position for the identified unit amongst a plurality of tables in the repository,wherein the position amongst the tables is assigned based on a specificity characteristic that describes a relative inclusivity of the substitution unit as compared to other substitution units in the plurality of tables,wherein the position defines a level of priority for the identified unit,wherein the level of priority changes as between the tables, andwherein the processing module replaces the identified unit in the delineated portions with the replacement unit in accordance with the level of priority to form the spoken content input.
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Abstract
A contextual conversion platform, and method for converting text-to-speech, are described that can convert content of a target to spoken content. Embodiments of the contextual conversion platform can identify certain contextual characteristics of the content, from which can be generated a spoken content input. This spoken content input can include tokens, e.g., words and abbreviations, to be converted to the spoken content, as well as substitution tokens that are selected from contextual repositories based on the context identified by the contextual conversion platform.
34 Citations
20 Claims
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1. A contextual conversion platform for implementation on a computing device configured to process content of a target for use with a text-to-speech engine, said contextual conversion platform comprising:
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a processing module for generating a spoken content input in response to the target, the processing module comprising, a first filter module for identifying a context identifier in the target, and a second filter module for delineating portions of the target comprising one or more target terms; and a repository in communication with the processing module, the repository having entries that are organized according to a prioritized scheme, the entries comprising a substitution unit with an identified unit respecting the target terms in the delineated portions and a replacement unit corresponding to the identified unit, wherein the prioritized scheme assigns a position for the identified unit amongst a plurality of tables in the repository, wherein the position amongst the tables is assigned based on a specificity characteristic that describes a relative inclusivity of the substitution unit as compared to other substitution units in the plurality of tables, wherein the position defines a level of priority for the identified unit, wherein the level of priority changes as between the tables, and wherein the processing module replaces the identified unit in the delineated portions with the replacement unit in accordance with the level of priority to form the spoken content input. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer-implemented method for converting content of a target for use with a text-to-speech engine, said method comprising:
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at a computer comprising a computer program to implement processing operations; receiving data that defines content of a Website; processing the data to, identify a context identifier from among the content; separate the content into relevant content and miscellaneous content; locate a target term in the relevant content; use the context identifier to identify a substitution unit for the target term; and generate a spoken content input that can be utilized by a text-to-speech generator to generate spoken content, the spoken content input comprising a replacement unit corresponding to the substitution unit, wherein the substitution unit is selected from a repository with entries that are arranged in tables in accordance with a prioritized scheme, wherein the prioritized scheme defines a position amongst the tables for the substitution unit, wherein the position in the tables is assigned based on a specificity characteristic that describes a relative inclusivity of the substitution unit as compared to other substitution units, and wherein the position defines a level of priority for the identified token. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification