Patents by Inventor William Pui Lum LI

William Pui Lum LI 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).

  • Interpreting spoken requests
    Patent number: 11423908
    Abstract: In an exemplary process for interpreting spoken requests, audio input containing a user utterance is received. In accordance with a determination that a text representation of the user utterance does not exactly match any of a plurality of user-defined invocation phrases, the process determines whether a comparison between the text representation and a user-defined invocation phrase of the plurality of user-defined invocation phrases satisfies one or more rule-based conditions. In accordance with a determination that the comparison between the text representation and the user-defined invocation phrase satisfies the one or more rule-based conditions, the text representation and the user-defined invocation phrase is processed using a machine-learned model to determine a score representing a degree of semantic equivalence between the text representation and the user-defined invocation phrase.
    Type: Grant
    Filed: August 28, 2019
    Date of Patent: August 23, 2022
    Assignee: Apple Inc.
    Inventors: Qiwei Sun, Gagan Aneja, Xinjie Di, William Pui Lum Li, Deepak Muralidharan
  • INTERPRETING SPOKEN REQUESTS
    Publication number: 20200357409
    Abstract: In an exemplary process for interpreting spoken requests, audio input containing a user utterance is received. In accordance with a determination that a text representation of the user utterance does not exactly match any of a plurality of user-defined invocation phrases, the process determines whether a comparison between the text representation and a user-defined invocation phrase of the plurality of user-defined invocation phrases satisfies one or more rule-based conditions. In accordance with a determination that the comparison between the text representation and the user-defined invocation phrase satisfies the one or more rule-based conditions, the text representation and the user-defined invocation phrase is processed using a machine-learned model to determine a score representing a degree of semantic equivalence between the text representation and the user-defined invocation phrase.
    Type: Application
    Filed: August 28, 2019
    Publication date: November 12, 2020
    Inventors: Qiwei SUN, Gagan ANEJA, Xinjie DI, William Pui Lum LI, Deepak MURALIDHARAN