Patents by Inventor Guangming Ling

Guangming Ling has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Non-scorable response filters for speech scoring systems
    Patent number: 9704413
    Abstract: 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.
    Type: Grant
    Filed: March 23, 2015
    Date of Patent: July 11, 2017
    Assignee: Educational Testing Service
    Inventors: Su-Youn Yoon, Derrick Higgins, Klaus Zechner, Shasha Xie, Je Hun Jeon, Keelan Evanini, Guangming Ling, Isaac Bejar
  • Non-Scorable Response Filters for Speech Scoring Systems
    Publication number: 20150194147
    Abstract: 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.
    Type: Application
    Filed: March 23, 2015
    Publication date: July 9, 2015
    Inventors: Su-Youn Yoon, Derrick Higgins, Klaus Zechner, Shasha Xie, Je Hun Jeon, Keelan Evanini, Guangming Ling