Language models using spoken language modeling
US-2024386885-A1 · Nov 21, 2024 · US
Kernel deep convex networks and end-to-end learning
US9099083B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9099083-B2 |
| Application number | US-201313798284-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 13, 2013 |
| Priority date | Mar 13, 2013 |
| Publication date | Aug 4, 2015 |
| Grant date | Aug 4, 2015 |
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Abstract
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Data associated with spoken language may be obtained. An analysis of the obtained data may be initiated for understanding of the spoken language using a deep convex network that is integrated with a kernel trick. The resulting kernel deep convex network may also be constructed by stacking one shallow kernel network over another with concatenation of the output vector of the lower network with the input data vector. A probability associated with a slot that is associated with slot-filling may be determined, based on local, discriminative features that are extracted using the kernel deep convex network.
First claim
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What is claimed is: 1. A system comprising: a device that includes at least one processor, the device including a language understanding engine comprising instructions tangibly embodied on a computer readable storage medium for execution by the at least one processor, the language understanding engine including: a feature acquisition component configured to obtain local, discriminative features that are associated with an input spoken language string; a slot-filling component c…
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Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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- What does patent US9099083B2 cover?
- Data associated with spoken language may be obtained. An analysis of the obtained data may be initiated for understanding of the spoken language using a deep convex network that is integrated with a kernel trick. The resulting kernel deep convex network may also be constructed by stacking one shallow kernel network over another with concatenation of the output vector of the lower network with t…
- Who is the assignee on this patent?
- Microsoft Corp, Microsoft Technology Licensing Llc
- What technology area does this patent fall under?
- Primary CPC classification G10L15/063. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Aug 04 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).