Patents by Inventor Markus Toman

Markus Toman 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).

  • Patent number: 11062698
    Abstract: Image-based machine learning approaches are used to classify audio data, such as speech data as authentic or otherwise. For example, audio data can be obtained and a visual representation of the audio data can be generated. The visual representation can include, for example, an image such as a spectrogram or other visual or electronic representation of the audio data. Before processing the image, the audio data and/or image may undergo various preprocessing techniques. Thereafter, the image representation of the audio data can be analyzed using a trained model to classify the audio data as authentic or otherwise.
    Type: Grant
    Filed: October 24, 2019
    Date of Patent: July 13, 2021
    Assignee: VocaliD, INC.
    Inventors: Rupal Patel, Geoffrey S Meltzner, Markus Toman
  • Publication number: 20200184955
    Abstract: Image-based machine learning approaches are used to classify audio data, such as speech data as authentic or otherwise. For example, audio data can be obtained and a visual representation of the audio data can be generated. The visual representation can include, for example, an image such as a spectrogram or other visual or electronic representation of the audio data. Before processing the image, the audio data and/or image may undergo various preprocessing techniques. Thereafter, the image representation of the audio data can be analyzed using a trained model to classify the audio data as authentic or otherwise.
    Type: Application
    Filed: October 24, 2019
    Publication date: June 11, 2020
    Applicant: VocaliD, INC.
    Inventors: Rupal PATEL, Geoffrey S. MELTZNER, Markus TOMAN
  • Patent number: 10504504
    Abstract: Image-based machine learning approaches are used to classify audio data, such as speech data as authentic or otherwise. For example, audio data can be obtained and a visual representation of the audio data can be generated. The visual representation can include, for example, an image such as a spectrogram or other visual or electronic representation of the audio data. Before processing the image, the audio data and/or image may undergo various preprocessing techniques. Thereafter, the image representation of the audio data can be analyzed using a trained model to classify the audio data as authentic or otherwise.
    Type: Grant
    Filed: December 7, 2018
    Date of Patent: December 10, 2019
    Assignee: VocaliD, INC.
    Inventors: Geoffrey S Meltzner, Rupal Patel, Markus Toman