Patents by Inventor Gerald Bradley PENN

Gerald Bradley PENN 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: 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
  • 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
  • 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
  • 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
  • Publication number: 20140195227
    Abstract: An acoustic transformation system and method. A specific embodiment is the transformation of acoustic speech signals produced by speakers with speech disabilities in order to make those utterances more intelligible to typical listeners. These modifications include the correction of tempo or rhythm, the adjustment of formant frequencies in sonorants, the removal of adjustment of aberrant voicing, the deletion of phoneme insertion errors, and the replacement of erroneously dropped phonemes. These methods may also be applied to general correction of musical or acoustic sequences.
    Type: Application
    Filed: January 13, 2014
    Publication date: July 10, 2014
    Inventors: Frank RUDZICZ, Graeme John HIRST, Pascal Hubert Henri Marie VAN LIESHOUT, Graham Fraser SHEIN, Gerald Bradley PENN