Theme detection for object-recognition-based notifications
US-12183330-B2 · Dec 31, 2024 · US
Structured models of repetition for speech recognition
US8965765B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8965765-B2 |
| Application number | US-23382608-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 19, 2008 |
| Priority date | Sep 19, 2008 |
| Publication date | Feb 24, 2015 |
| Grant date | Feb 24, 2015 |
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Abstract
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Described is a technology by which a structured model of repetition is used to determine the words spoken by a user, and/or a corresponding database entry, based in part on a prior utterance. For a repeated utterance, a joint probability analysis is performed on (at least some of) the corresponding word sequences as recognized by one or more recognizers) and associated acoustic data. For example, a generative probabilistic model, or a maximum entropy model may be used in the analysis. The second utterance may be a repetition of the first utterance using the exact words, or another structural transformation thereof relative to the first utterance, such as an extension that adds one or more words, a truncation that removes one or more words, or a whole or partial spelling of one or more words.
First claim
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What is claimed is: 1. In a computing environment, a method, comprising, receiving two or more adjacent utterances, in which a later utterance is structurally related to an earlier utterance by repetition, using a structured model of repetition to determine an intention associated with at least one of the utterances, recognizing the utterances as separate sets of word sequences, and wherein using the structured model of repetition comprises performing a joint probability analysis o…
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- G10L15/1822Primary
Physics · mapped topic
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- What does patent US8965765B2 cover?
- Described is a technology by which a structured model of repetition is used to determine the words spoken by a user, and/or a corresponding database entry, based in part on a prior utterance. For a repeated utterance, a joint probability analysis is performed on (at least some of) the corresponding word sequences as recognized by one or more recognizers) and associated acoustic data. For exampl…
- Who is the assignee on this patent?
- Zweig Geoffrey G, Li Xiao, Bohus Dan, and 3 more
- What technology area does this patent fall under?
- Primary CPC classification G10L15/1822. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Feb 24 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).