Patents by Inventor Ossama Abdelhamid Mohamed Abdelhamid

Ossama Abdelhamid Mohamed Abdelhamid 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).

  • System and method for applying a convolutional neural network to speech recognition
    Patent number: 9734824
    Abstract: A system and method for applying a convolutional neural network (CNN) to speech recognition. The CNN may provide input to a hidden Markov model and has at least one pair of a convolution layer and a pooling layer. The CNN operates along the frequency axis. The CNN has units that operate upon one or more local frequency bands of an acoustic signal. The CNN mitigates acoustic variation.
    Type: Grant
    Filed: May 25, 2015
    Date of Patent: August 15, 2017
    Assignees: THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO
    Inventors: Gerald Bradley Penn, Hui Jiang, Ossama Abdelhamid Mohamed Abdelhamid, Abdel-rahman Samir Abdel-rahman Mohamed
  • System and method for applying a convolutional neural network to speech recognition
    Patent number: 9190053
    Abstract: A system and method for applying a convolutional neural network (CNN) to speech recognition. The CNN may provide input to a hidden Markov model and has at least one pair of a convolution layer and a pooling layer. The CNN operates along the frequency axis. The CNN has units that operate upon one or more local frequency bands of an acoustic signal. The CNN mitigates acoustic variation.
    Type: Grant
    Filed: March 25, 2013
    Date of Patent: November 17, 2015
    Assignees: THE GOVERNING COUNCIL OF THE UNIVERISTY OF TORONTO
    Inventors: Gerald Bradley Penn, Hui Jiang, Ossama Abdelhamid Mohamed Abdelhamid, Abdel-rahman Samir Abdel-rahman Mohamed
  • SYSTEM AND METHOD FOR APPLYING A CONVOLUTIONAL NEURAL NETWORK TO SPEECH RECOGNITION
    Publication number: 20150255062
    Abstract: A system and method for applying a convolutional neural network (CNN) to speech recognition. The CNN may provide input to a hidden Markov model and has at least one pair of a convolution layer and a pooling layer. The CNN operates along the frequency axis. The CNN has units that operate upon one or more local frequency bands of an acoustic signal. The CNN mitigates acoustic variation.
    Type: Application
    Filed: May 25, 2015
    Publication date: September 10, 2015
    Inventors: Gerald Bradley Penn, Hui Jiang, Ossama Abdelhamid Mohamed Abdelhamid, Abdel-rahman Samir Abdel-rahman MOHAMED
  • SYSTEM AND METHOD FOR APPLYING A CONVOLUTIONAL NEURAL NETWORK TO SPEECH RECOGNITION
    Publication number: 20140288928
    Abstract: A system and method for applying a convolutional neural network (CNN) to speech recognition. The CNN may provide input to a hidden Markov model and has at least one pair of a convolution layer and a pooling layer. The CNN operates along the frequency axis. The CNN has units that operate upon one or more local frequency bands of an acoustic signal. The CNN mitigates acoustic variation.
    Type: Application
    Filed: March 25, 2013
    Publication date: September 25, 2014
    Inventors: Gerald Bradley Penn, Hui Jiang, Ossama Abdelhamid Mohamed Abdelhamid, Abdel-rahman Samir Abdel-rahman Mohamed