Patents by Inventor David M. Lubensky

David M. 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: 20030088421
    Abstract: Systems and methods for conversational computing and, in particular, to systems and methods for building distributed conversational applications using a Web services-based model wherein speech engines (e.g., speech recognition) and audio I/O systems are programmable services that can be asynchronously programmed by an application using a standard, extensible SERCP (speech engine remote control protocol), to thereby provide scalable and flexible IP-based architectures that enable deployment of the same application or application development environment across a wide range of voice processing platforms and networks/gateways (e.g., PSTN (public switched telephone network), Wireless, Internet, and VoIP (voice over IP)). Systems and methods are further provided for dynamically allocating, assigning, configuring and controlling speech resources such as speech engines, speech pre/post processing systems, audio subsystems, and exchanges between speech engines using SERCP in a web service-based framework.
    Type: Application
    Filed: June 25, 2002
    Publication date: May 8, 2003
    Applicant: International Business Machines Corporation
    Inventors: Stephane H. Maes, David M. Lubensky, Andrzej Sakrajda
  • Publication number: 20020091521
    Abstract: A maximum likelihood spectral transformation (MLST) technique is proposed for rapid speech recognition under mismatched training and testing conditions. Speech feature vectors of real-time utterances are transformed in a linear spectral domain such that a likelihood of the utterances is increased after the transformation. Cepstral vectors are computed from the transformed spectra. The MLST function used for the spectral transformation is configured to handle both convolutional and additive noise. Since the function has small number of parameters to be estimated, only a few utterances are required for accurate adaptation, thus essentially eliminating the need for training speech data. Furthermore, the computation for parameter estimation and spectral transformation can be done efficiently in linear time. Therefore, the techniques of the present invention are well-suited for rapid online adaptation.
    Type: Application
    Filed: July 23, 2001
    Publication date: July 11, 2002
    Applicant: International Business Machines Corporation
    Inventors: Dongsuk Yuk, David M. Lubensky
  • Patent number: 5832063
    Abstract: Methods and apparatus for activating telephone services in response to speech are described. A directory including names is maintained for each customer. A speaker dependent speech template and a telephone number for each name, is maintained as part of each customer's directory. Speaker independent speech templates are used for recognizing commands. The present invention has the advantage of permitting a customer to place a call by speaking a person's name which serves as a destination identifier without having to speak an additional command or steering word to place the call. This is achieved by treating the receipt of a spoken name in the absence of a command as an implicit command to place a call. Explicit speaker independent commands are used to invoke features or services other than call placement. Speaker independent and speaker dependent speech recognition are performed on a customer's speech in parallel.
    Type: Grant
    Filed: August 1, 1997
    Date of Patent: November 3, 1998
    Assignee: Nynex Science & Technology, Inc.
    Inventors: George J. Vysotsky, Ayman O. Asadi, David M. Lubensky, Vijay R. Raman, Jayant M. Naik
  • Patent number: 5745649
    Abstract: For speech recognition systems a method for modeling context-dependent phonetic categories using artificial neural nets has been described. First, linguistically motivated context-clustering is employed to reduce the number of context-dependent categories. Second, phone-specific MLP structures are used where the number of outputs in each MLP is based on the number of left and right contexts occurring in a training database. The structure of each MLP can be automatically determined using the cascade-correlation learning algorithm.
    Type: Grant
    Filed: March 19, 1997
    Date of Patent: April 28, 1998
    Assignee: NYNEX Science & Technology Corporation
    Inventor: David M. Lubensky
  • Patent number: 5719921
    Abstract: Methods and apparatus for activating telephone services in response to speech are described. A directory including names is maintained for each customer. A speaker dependent speech template and a telephone number for each name, is maintained as part of each customer's directory. Speaker independent speech templates are used for recognizing commands. The present invention has the advantage of permitting a customer to place a call by speaking a person's name which serves as a destination identifier without having to speak an additional command or steering word to place the call. This is achieved by treating the receipt of a spoken name in the absence of a command as an implicit command to place a call. Explicit speaker independent commands are used to invoke features or services other than call placement. Speaker independent and speaker dependent speech recognition are performed on a customer's speech in parallel.
    Type: Grant
    Filed: February 29, 1996
    Date of Patent: February 17, 1998
    Assignee: NYNEX Science & Technology
    Inventors: George J. Vysotsky, Ayman O. Asadi, David M. Lubensky, Vijay R. Raman, Jayant M. Naik
  • Patent number: RE38101
    Abstract: Methods and apparatus for activating telephone services in response to speech are described. A directory including names is maintained for each customer. A speaker dependent speech template and a telephone number for each name, is maintained as part of each customer's directory. Speaker independent speech templates are used for recognizing commands. The present invention has the advantage of permitting a customer to place a call by speaking a person's name which serves as a destination identifier without having to speak an additional command or steering word to place the call. This is achieved by treating the receipt of a spoken name in the absence of a command as an implicit command to place a call. Explicit speaker independent commands are used to invoke features or services other than call placement. Speaker independent and speaker dependent speech recognition are performed on a customer's speech in parallel.
    Type: Grant
    Filed: February 16, 2000
    Date of Patent: April 29, 2003
    Assignee: Telesector Resources Group, Inc.
    Inventors: George J. Vysotsky, Ayman O. Asadi, David M. Lubensky, Vijay R. Raman, Jayant M. Naik