Patents by Inventor David Lubensky

David Lubensky 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).

  • Publication number: 20030065514
    Abstract: Disclosed is a method of automated handset identification, comprising receiving a sample speech input signal from a sample handset; deriving a cepstral covariance sample matrix from said first sample speech signal; calculating, with a distance metric, all distances between said sample matrix and one or more cepstral covariance handset matrices, wherein each said handset matrix is derived from a plurality of speech signals taken from different speakers through the same handset; and determining if the smallest of said distances is below a predetermined threshold value.
    Type: Application
    Filed: August 21, 2001
    Publication date: April 3, 2003
    Applicant: International Business Machines Corporation
    Inventors: Zhong-Hua Wang, David Lubensky, Cheng Wu
  • Publication number: 20030037053
    Abstract: A method for automatically updating stock and mutual fund grammars in a speech recognition system includes the step of automatically updating, on a pre-specified basis, a database having a plurality of entries. Each entry respectively corresponds to a publicly traded stock or a publicly traded fund, and respectively includes at least one name of the publicly traded stock or publicly traded fund, a weight for the at least one name, and baseforms of the at least one name. A grammar file for names in the database is automatically updated. The grammar file includes the names and weights for the names. Preferably, the database and grammar file are updated on a daily basis.
    Type: Application
    Filed: August 9, 2001
    Publication date: February 20, 2003
    Inventors: Zhong-Hua Wang, Martin Franz, David Lubensky, Salim E. Roukos
  • Patent number: 6260014
    Abstract: A method for recognizing speech includes the steps of providing a generic model having a baseform representation of a vocabulary of words, identifying a subset of words relating to an application, constructing a task specific model for the subset of words, constructing a composite model by combining the generic and task specific models and modifying the baseform representation of the subset of words such that the subset of words are recognized by the task specific model. A system for recognizing speech includes a composite model having a generic model having a generic baseform representation of a vocabulary of words and a task specific model for recognizing a subset of words relating to an application wherein the subset of words are recognized using a modified baseform representation. A recognizer compares words input thereto with the generic model for words other than the subset of words and with the task specific model for the subset of words.
    Type: Grant
    Filed: September 14, 1998
    Date of Patent: July 10, 2001
    Assignee: International Business Machines Corporation
    Inventors: Lalit Rai Bahl, David Lubensky, Mukund Padmanabhan, Salim Roukos