GONG.io Ltd. (20240257804). LANGUAGE MODEL CUSTOMIZATION TECHNIQUES AND APPLICATIONS THEREOF simplified abstract

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LANGUAGE MODEL CUSTOMIZATION TECHNIQUES AND APPLICATIONS THEREOF

Organization Name

GONG.io Ltd.

Inventor(s)

Ruth Aloni-lavi of Raanana (IL)

LANGUAGE MODEL CUSTOMIZATION TECHNIQUES AND APPLICATIONS THEREOF - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240257804 titled 'LANGUAGE MODEL CUSTOMIZATION TECHNIQUES AND APPLICATIONS THEREOF

The patent application describes a system and method for automated speech recognition using customized language models.

  • Identifying words from content related to a specific use case.
  • Adjusting a language model based on these words to create a customized language model.
  • Applying the customized language model to audio content to predict language outputs.
  • Determining speech recognition outputs based on the predictions of the customized language model.
    • Key Features and Innovation:**
  • Customized language models tailored to specific use cases.
  • Improved accuracy in speech recognition through adjusting language models.
  • Application of customized language models to audio content for speech recognition.
    • Potential Applications:**
  • Speech-to-text transcription services.
  • Virtual assistants and chatbots.
  • Call center automation.
    • Problems Solved:**
  • Enhancing the accuracy of speech recognition systems.
  • Improving the performance of language models in specific use cases.
  • Streamlining the process of creating customized language models.
    • Benefits:**
  • Increased efficiency in speech recognition tasks.
  • Enhanced user experience in voice-controlled applications.
  • Customized language models for better accuracy in specialized domains.
    • Commercial Applications:**

Automated Speech Recognition Technology for Enhanced User Experience and Efficiency

    • Prior Art:**

Prior research in the field of speech recognition systems and language modeling.

    • Frequently Updated Research:**

Ongoing advancements in machine learning algorithms for speech recognition and natural language processing.

    • Questions about Automated Speech Recognition using Customized Language Models:**

1. How does the customization of language models improve speech recognition accuracy? 2. What are the potential limitations of using customized language models in speech recognition systems?


Original Abstract Submitted

a system and method for automated speech recognition using customized language models. a method includes identifying a plurality of words among first content, wherein the first content corresponds to a use case; adjusting a language model based on the plurality of words in order to create a customized language model, wherein the customized language model is configured to output language predictions when applied to features extracted from audio content, wherein the language model is adjusted to increase a likelihood that the language model outputs the plurality of words as language predictions; applying the customized language model to second content in order to determine a plurality of outputs of the customized language model, wherein the second content is audio content corresponding to the use case; and determining speech recognition outputs based on the plurality of outputs of the customized language model.