Alternating Positioning of Primary Text
US-2024419887-A1 · Dec 19, 2024 · US
Non-scorable response filters for speech scoring systems
US8990082B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8990082-B2 |
| Application number | US-201213428448-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 23, 2012 |
| Priority date | Mar 25, 2011 |
| Publication date | Mar 24, 2015 |
| Grant date | Mar 24, 2015 |
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Abstract
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A method for scoring non-native speech includes receiving a speech sample spoken by a non-native speaker and performing automatic speech recognition and metric extraction on the speech sample to generate a transcript of the speech sample and a speech metric associated with the speech sample. The method further includes determining whether the speech sample is scorable or non-scorable based upon the transcript and speech metric, where the determination is based on an audio quality of the speech sample, an amount of speech of the speech sample, a degree to which the speech sample is off-topic, whether the speech sample includes speech from an incorrect language, or whether the speech sample includes plagiarized material. When the sample is determined to be non-scorable, an indication of non-scorability is associated with the speech sample. When the sample is determined to be scorable, the sample is provided to a scoring model for scoring.
First claim
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It is claimed: 1. A computer-implemented method of scoring non-native speech, comprising: receiving a speech sample spoken by a non-native speaker; performing automatic speech recognition on the speech sample to generate a transcript of the speech sample; processing the speech sample to generate a plurality of speech metrics associated with the speech sample; applying a plurality of non-scorable response filters to the plurality of speech metrics; determining whether the s…
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Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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Frequently asked questions
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- What does patent US8990082B2 cover?
- A method for scoring non-native speech includes receiving a speech sample spoken by a non-native speaker and performing automatic speech recognition and metric extraction on the speech sample to generate a transcript of the speech sample and a speech metric associated with the speech sample. The method further includes determining whether the speech sample is scorable or non-scorable based upon…
- Who is the assignee on this patent?
- Yoon Su-Youn, Higgins Derrick, Zechner Klaus, and 4 more
- What technology area does this patent fall under?
- Primary CPC classification G09B19/06. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Mar 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).