Patents by Inventor Gautam Tiwari

Gautam Tiwari 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).

  • Language and grammar model adaptation using model weight data
    Patent number: 11705116
    Abstract: Systems and methods described herein relate to adapting a language model for automatic speech recognition (ASR) for a new set of words. Instead of retraining the ASR models, language models and grammar models, the system only modifies one grammar model and ensures its compatibility with the existing models in the ASR system.
    Type: Grant
    Filed: August 18, 2021
    Date of Patent: July 18, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Ankur Gandhe, Ariya Rastrow, Gautam Tiwari, Ashish Vishwanath Shenoy, Chun Chen
  • LANGUAGE AND GRAMMAR MODEL ADAPTATION
    Publication number: 20220036893
    Abstract: Systems and methods described herein relate to adapting a language model for automatic speech recognition (ASR) for a new set of words. Instead of retraining the ASR models, language models and grammar models, the system only modifies one grammar model and ensures its compatibility with the existing models in the ASR system.
    Type: Application
    Filed: August 18, 2021
    Publication date: February 3, 2022
    Inventors: Ankur Gandhe, Ariya Rastrow, Gautam Tiwari, Ashish Vishwanath Shenoy, Chun Chen
  • Language and grammar model adaptation
    Patent number: 11145296
    Abstract: Systems and methods described herein relate to adapting a language model for automatic speech recognition (ASR) for a new set of words. Instead of retraining the ASR models, language models and grammar models, the system only modifies one grammar model and ensures its compatibility with the existing models in the ASR system.
    Type: Grant
    Filed: March 25, 2019
    Date of Patent: October 12, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Ankur Gandhe, Ariya Rastrow, Gautam Tiwari, Ashish Vishwanath Shenoy, Chun Chen
  • Compressed finite state transducers for automatic speech recognition
    Patent number: 10381000
    Abstract: Compact finite state transducers (FSTs) for automatic speech recognition (ASR). An HCLG FST and/or G FST may be compacted at training time to reduce the size of the FST to be used at runtime. The compact FSTs may be significantly smaller (e.g., 50% smaller) in terms of memory size, thus reducing the use of computing resources at runtime to operate the FSTs. The individual arcs and states of each FST may be compacted by binning individual weights, thus reducing the number of bits needed for each weight. Further, certain fields such as a next state ID may be left out of a compact FST if an estimation technique can be used to reproduce the next state at runtime. During runtime portions of the FSTs may be decompressed for processing by an ASR engine.
    Type: Grant
    Filed: January 8, 2018
    Date of Patent: August 13, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Denis Sergeyevich Filimonov, Gautam Tiwari, Shaun Nidhiri Joseph, Ariya Rastrow
  • Compact HCLG FST
    Patent number: 10013974
    Abstract: Compact finite state transducers (FSTs) for automatic speech recognition (ASR). An HCLG FST and/or G FST may be compacted at training time to reduce the size of the FST to be used at runtime. The compact FSTs may be significantly smaller (e.g., 50% smaller) in terms of memory size, thus reducing the use of computing resources at runtime to operate the FSTs. The individual arcs and states of each FST may be compacted by binning individual weights, thus reducing the number of bits needed for each weight. Further, certain fields such as a next state ID may be left out of a compact FST if an estimation technique can be used to reproduce the next state at runtime. During runtime portions of the FSTs may be decompressed for processing by an ASR engine.
    Type: Grant
    Filed: June 20, 2016
    Date of Patent: July 3, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Denis Sergeyevich Filimonov, Gautam Tiwari, Shaun Nidhiri Joseph, Ariya Rastrow
  • Customized speech processing language models
    Patent number: 9934777
    Abstract: User-specific language models (LMs) that include internal word indexes to a word table specific to the user-specific LM rather than a word table specific to a system-wide LM. When the system-wide LM is updated, the word table of the user-specific LM may be updated to translate the user-specific indices to system-wide indices. This prevents having to update the internal indices of the user-specific LM every time the system-wide LM is updated.
    Type: Grant
    Filed: August 26, 2016
    Date of Patent: April 3, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Shaun Nidhiri Joseph, Sonal Pareek, Ariya Rastrow, Gautam Tiwari, Alexander David Rosen
  • Compressed finite state transducers for automatic speech recognition
    Patent number: 9865254
    Abstract: Compact finite state transducers (FSTs) for automatic speech recognition (ASR). An HCLG FST and/or G FST may be compacted at training time to reduce the size of the FST to be used at runtime. The compact FSTs may be significantly smaller (e.g., 50% smaller) in terms of memory size, thus reducing the use of computing resources at runtime to operate the FSTs. The individual arcs and states of each FST may be compacted by binning individual weights, thus reducing the number of bits needed for each weight. Further, certain fields such as a next state ID may be left out of a compact FST if an estimation technique can be used to reproduce the next state at runtime. During runtime portions of the FSTs may be decompressed for processing by an ASR engine.
    Type: Grant
    Filed: June 20, 2016
    Date of Patent: January 9, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Denis Sergeyevich Filimonov, Gautam Tiwari, Shaun Nidhiri Joseph, Ariya Rastrow