Patents by Inventor Chris D. Bartels

Chris D. Bartels 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).

  • Systems and methods for speech recognition in unseen and noisy channel conditions
    Patent number: 11217228
    Abstract: Systems and methods for speech recognition are provided. In some aspects, the method comprises receiving, using an input, an audio signal. The method further comprises splitting the audio signal into auditory test segments. The method further comprises extracting, from each of the auditory test segments, a set of acoustic features. The method further comprises applying the set of acoustic features to a deep neural network to produce a hypothesis for the corresponding auditory test segment. The method further comprises selectively performing one or more of: indirect adaptation of the deep neural network and direct adaptation of the deep neural network.
    Type: Grant
    Filed: March 22, 2017
    Date of Patent: January 4, 2022
    Assignee: SRI International
    Inventors: Vikramjit Mitra, Horacio E. Franco, Chris D. Bartels, Dimitra Vergyri, Julien van Hout, Martin Graciarena
  • SYSTEMS AND METHODS FOR SPEECH RECOGNITION IN UNSEEN AND NOISY CHANNEL CONDITIONS
    Publication number: 20200168208
    Abstract: Systems and methods for speech recognition are provided. In some aspects, the method comprises receiving, using an input, an audio signal. The method further comprises splitting the audio signal into auditory test segments. The method further comprises extracting, from each of the auditory test segments, a set of acoustic features. The method further comprises applying the set of acoustic features to a deep neural network to produce a hypothesis for the corresponding auditory test segment. The method further comprises selectively performing one or more of: indirect adaptation of the deep neural network and direct adaptation of the deep neural network.
    Type: Application
    Filed: March 22, 2017
    Publication date: May 28, 2020
    Inventors: Vikramjit Mitra, Horacio E. Franco, Chris D. Bartels, Dimitra Vergyri, Julien van Hout, Martin Graciarena