Patents by Inventor David IMSENG

David IMSENG 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).

  • Apparatus and method for constructing multilingual acoustic model and computer readable recording medium for storing program for performing the method
    Patent number: 10460043
    Abstract: An apparatus and a method for constructing a multilingual acoustic model, and a computer readable recording medium are provided. The method for constructing a multilingual acoustic model includes dividing an input feature into a common language portion and a distinctive language portion, acquiring a tandem feature by training the divided common language portion and distinctive language portion using a neural network to estimate and remove correlation between phonemes, dividing parameters of an initial acoustic model constructed using the tandem feature into common language parameters and distinctive language parameters, adapting the common language parameters using data of a training language, adapting the distinctive language parameters using data of a target language, and constructing an acoustic model for the target language using the adapted common language parameters and the adapted distinctive language parameters.
    Type: Grant
    Filed: November 22, 2013
    Date of Patent: October 29, 2019
    Assignees: SAMSUNG ELECTRONICS CO., LTD., IDIAP RESEARCH INSTITUTE
    Inventors: Nam-Hoon Kim, Petr Motlicek, Philip Neil Garner, David Imseng, Jae-won Lee, Jeong-Mi Cho
  • APPARATUS AND METHOD FOR CONSTRUCTING MULTILINGUAL ACOUSTIC MODEL AND COMPUTER READABLE RECORDING MEDIUM FOR STORING PROGRAM FOR PERFORMING THE METHOD
    Publication number: 20140149104
    Abstract: An apparatus and a method for constructing a multilingual acoustic model, and a computer readable recording medium are provided. The method for constructing a multilingual acoustic model includes dividing an input feature into a common language portion and a distinctive language portion, acquiring a tandem feature by training the divided common language portion and distinctive language portion using a neural network to estimate and remove correlation between phonemes, dividing parameters of an initial acoustic model constructed using the tandem feature into common language parameters and distinctive language parameters, adapting the common language parameters using data of a training language, adapting the distinctive language parameters using data of a target language, and constructing an acoustic model for the target language using the adapted common language parameters and the adapted distinctive language parameters.
    Type: Application
    Filed: November 22, 2013
    Publication date: May 29, 2014
    Applicants: IDIAP RESEARCH INSTITUTE, SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Nam-Hoon KIM, Petr MOTLICEK, Philip Neil GARNER, David IMSENG, Jae-won LEE, Jeong-Mi CHO