Patents by Inventor Martha Holloman

Martha Holloman 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).

  • Improving speech recognition transcriptions
    Patent number: 11580959
    Abstract: An approach to correcting transcriptions of speech recognition models may be provided. A list of similar sounding phonemes from associated with the phonemes of high frequency terms may be generated for a particular node associated with a virtual assistant. An utterance may be transcribed and receive a confidence score regarding the correctness of the transcription based on audio metrics and other factors. The phonemes of the utterance can be compared to the phonemes of the high frequency terms from the list and a score for the matching phonemes and similar sounding phonemes can be determined. If it is determined the sounds similar score for a term from the high frequency term list is above a threshold, the transcription can be replaced with the term, providing a corrected transcription.
    Type: Grant
    Filed: September 28, 2020
    Date of Patent: February 14, 2023
    Assignee: International Business Machines Corporation
    Inventors: Andrew R. Freed, Marco Noel, Aishwarya Hariharan, Martha Holloman, Mohammad Gorji-Sefidmazgi, Daniel Zyska
  • IMPROVING SPEECH RECOGNITION TRANSCRIPTIONS
    Publication number: 20220101830
    Abstract: An approach to correcting transcriptions of speech recognition models may be provided. A list of similar sounding phonemes from associated with the phonemes of high frequency terms may be generated for a particular node associated with a virtual assistant. An utterance may be transcribed and receive a confidence score regarding the correctness of the transcription based on audio metrics and other factors. The phonemes of the utterance can be compared to the phonemes of the high frequency terms from the list and a score for the matching phonemes and similar sounding phonemes can be determined. If it is determined the sounds similar score for a term from the high frequency term list is above a threshold, the transcription can be replaced with the term, providing a corrected transcription.
    Type: Application
    Filed: September 28, 2020
    Publication date: March 31, 2022
    Inventors: Andrew R. Freed, Marco Noel, Aishwarya Hariharan, Martha Holloman, Mohammad Gorji-Sefidmazgi, Daniel Zyska
  • SPEECH RECOGNITION TRANSCRIPTIONS
    Publication number: 20220101835
    Abstract: An approach to correcting transcriptions of speech recognition models may be provided. A list of similar sounding phonemes from associated with the phonemes of high frequency terms may be generated for a particular node associated with a virtual assistant. An utterance may be transcribed and receive a confidence score regarding the correctness of the transcription based on audio metrics and other factors. The phonemes of the utterance can be compared to the phonemes of the high frequency terms from the list and a sounds similar score for the matching phonemes and similar sounding phonemes can be determined. If it is determined the sounds similar score for a term from the high frequency term list is above a threshold, the transcription can be replaced with the term, providing a corrected transcription.
    Type: Application
    Filed: September 28, 2020
    Publication date: March 31, 2022
    Inventors: Andrew R. Freed, Marco Noel, Aishwarya Hariharan, Martha Holloman, Mohammad Gorji-Sefidmazgi, Daniel Zyska