Patents by Inventor Deepak Subburam

Deepak Subburam 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).

  • Patent number: 12380880
    Abstract: An end-to-end automatic speech recognition (ASR) system can be constructed by fusing a first ASR model with a transformer. The input of the transformer is a learned layer generated by the first ASR model. The fused ASR model and transformer can be treated as a single end-to-end model and trained as a single model. In some embodiments, the end-to-end speech recognition system can be trained using a teacher-student training technique by selectively truncating portions of the first ASR model and/or the transformer components and selectively freezing various layers during the training passes.
    Type: Grant
    Filed: April 3, 2023
    Date of Patent: August 5, 2025
    Assignee: Deepgram, Inc.
    Inventors: Andrew Nathan Seagraves, Deepak Subburam, Adam Joseph Sypniewski, Scott Ivan Stephenson, Jacob Edward Cutter, Michael Joseph Sypniewski, Daniel Lewis Shafer
  • Publication number: 20240331685
    Abstract: An end-to-end automatic speech recognition (ASR) system can be constructed by fusing a first ASR model with a transformer. The input of the transformer is a learned layer generated by the first ASR model. The fused ASR model and transformer can be treated as a single end-to-end model and trained as a single model. In some embodiments, the end-to-end speech recognition system can be trained using a teacher-student training technique by selectively truncating portions of the first ASR model and/or the transformer components and selectively freezing various layers during the training passes.
    Type: Application
    Filed: April 3, 2023
    Publication date: October 3, 2024
    Inventors: Andrew Nathan Seagraves, Deepak Subburam, Adam Joseph Sypniewski, Scott Ivan Stephenson, Jacob Edward Cutter, Michael Joseph Sypniewski, Daniel Lewis Shafer