Patents by Inventor Nicolas Maurice Boulanger-Lewandowski

Nicolas Maurice Boulanger-Lewandowski 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).

  • Non-negative matrix factorization regularized by recurrent neural networks for audio processing
    Patent number: 9721202
    Abstract: Sound processing techniques using recurrent neural networks are described. In one or more implementations, temporal dependencies are captured in sound data that are modeled through use of a recurrent neural network (RNN). The captured temporal dependencies are employed as part of feature extraction performed using nonnegative matrix factorization (NMF). One or more sound processing techniques are performed on the sound data based at least in part on the feature extraction.
    Type: Grant
    Filed: February 21, 2014
    Date of Patent: August 1, 2017
    Assignee: Adobe Systems Incorporated
    Inventors: Nicolas Maurice Boulanger-Lewandowski, Gautham J. Mysore, Matthew Douglas Hoffman
  • Non-negative Matrix Factorization Regularized by Recurrent Neural Networks for Audio Processing
    Publication number: 20150242180
    Abstract: Sound processing techniques using recurrent neural networks are described. In one or more implementations, temporal dependencies are captured in sound data that are modeled through use of a recurrent neural network (RNN). The captured temporal dependencies are employed as part of feature extraction performed using nonnegative matrix factorization (NMF). One or more sound processing techniques are performed on the sound data based at least in part on the feature extraction.
    Type: Application
    Filed: February 21, 2014
    Publication date: August 27, 2015
    Inventors: Nicolas Maurice Boulanger-Lewandowski, Gautham J. Mysore, Matthew Douglas Hoffman