Patents by Inventor Geifei Yang

Geifei Yang 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).

  • METHODS, SYSTEMS AND APPARATUSES FOR IMPROVED SPEECH RECOGNITION AND TRANSCRIPTION
    Publication number: 20240096327
    Abstract: Methods, systems, and apparatuses for improved speech recognition and transcription of user utterances are described herein. A user utterance may be processed by a speech recognition computing device. One or more acoustic features associated with the user utterance may be used to determine whether one or more actions are to be performed based on a transcription of the user utterance.
    Type: Application
    Filed: November 28, 2023
    Publication date: March 21, 2024
    Inventors: Rui Min, Stefan Deichmann, Hongcheng Wang, Geifei Yang
  • Methods, systems and apparatuses for improved speech recognition and transcription
    Patent number: 11869507
    Abstract: Methods, systems, and apparatuses for improved speech recognition and transcription of user utterances are described herein. A user utterance may be processed by a speech recognition computing device. One or more acoustic features associated with the user utterance may be used to determine whether one or more actions are to be performed based on a transcription of the user utterance.
    Type: Grant
    Filed: December 20, 2022
    Date of Patent: January 9, 2024
    Assignee: COMCAST CABLE COMMUNICATIONS, LLC
    Inventors: Rui Min, Stefan Deichmann, Hongcheng Wang, Geifei Yang
  • Methods, Systems And Apparatuses For Improved Speech Recognition And Transcription
    Publication number: 20230122559
    Abstract: Methods, systems, and apparatuses for improved speech recognition and transcription of user utterances are described herein. User utterances may be processed by a speech recognition computing device as well as an acoustic model. The acoustic model may be trained using historical user utterance data and machine learning techniques. The acoustic model may be used to determine whether a transcription determined by the speech recognition computing device should be overridden with an updated transcription.
    Type: Application
    Filed: December 20, 2022
    Publication date: April 20, 2023
    Inventors: Rui Min, Stefan Deichmann, Hongcheng Wang, Geifei Yang
  • Methods, systems and apparatuses for improved speech recognition and transcription
    Patent number: 11551694
    Abstract: Methods, systems, and apparatuses for improved speech recognition and transcription of user utterances are described herein. User utterances may be processed by a speech recognition computing device as well as an acoustic model. The acoustic model may be trained using historical user utterance data and machine learning techniques. The acoustic model may be used to determine whether a transcription determined by the speech recognition computing device should be overridden with an updated transcription.
    Type: Grant
    Filed: January 5, 2021
    Date of Patent: January 10, 2023
    Assignee: COMCAST CABLE COMMUNICATIONS, LLC
    Inventors: Rui Min, Stefan Deichmann, Hongcheng Wang, Geifei Yang
  • METHODS, SYSTEMS AND APPARATUSES FOR IMPROVED SPEECH RECOGNITION AND TRANSCRIPTION
    Publication number: 20220215840
    Abstract: Methods, systems, and apparatuses for improved speech recognition and transcription of user utterances are described herein. User utterances may be processed by a speech recognition computing device as well as an acoustic model. The acoustic model may be trained using historical user utterance data and machine learning techniques. The acoustic model may be used to determine whether a transcription determined by the speech recognition computing device should be overridden with an updated transcription.
    Type: Application
    Filed: January 5, 2021
    Publication date: July 7, 2022
    Inventors: Rui Min, Stefan Deichmann, Hongcheng Wang, Geifei Yang