Patents by Inventor Hugo R. J. G. Van Hamme

Hugo R. J. G. Van Hamme 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).

  • Method and device for automatically learning relevance of words in a speech recognition system
    Patent number: 11049495
    Abstract: There is provided a system and method for processing and/or recognizing acoustic signals. The method comprises obtaining at least one pre-existing speech recognition model; adapting and/or training the at least one pre-existing speech recognition model incrementally when new, previously unseen, user-specific data is received, the data comprising input acoustic signals and/or user action demonstrations and/or semantic information about a meaning of the acoustic signals, wherein the at least one model is incrementally updated by associating new input acoustic signals with input semantic frames to enable recognition of changed input acoustic signals. The method further comprises adapting to a user's vocabulary over time by learning new words and/or removing words no longer being used by the user, generating a semantic frame from an input acoustic signal according to the at least one model, and mapping the semantic frame to a predetermined action.
    Type: Grant
    Filed: March 17, 2017
    Date of Patent: June 29, 2021
    Assignee: Fluent.ai Inc.
    Inventors: Vikrant Tomar, Vincent P. G. Renkens, Hugo R. J. G. Van Hamme
  • METHOD AND DEVICE FOR AUTOMATICALLY LEARNING RELEVANCE OF WORDS IN A SPEECH RECOGNITION SYSTEM
    Publication number: 20190108832
    Abstract: There is provided a system and method for processing and/or recognizing acoustic signals. The method comprises obtaining at least one pre-existing speech recognition model; adapting and/or training the at least one pre-existing speech recognition model incrementally when new, previously unseen, user-specific data is received, the data comprising input acoustic signals and/or user action demonstrations and/or semantic information about a meaning of the acoustic signals, wherein the at least one model is incrementally updated by associating new input acoustic signals with input semantic frames to enable recognition of changed input acoustic signals. The method further comprises adapting to a user's vocabulary over time by learning new words and/or removing words no longer being used by the user, generating a semantic frame from an input acoustic signal according to the at least one model, and mapping the semantic frame to a predetermined action.
    Type: Application
    Filed: March 17, 2017
    Publication date: April 11, 2019
    Inventors: Vikrant Tomar, Vincent P. G. Renkens, Hugo R. J. G. Van Hamme