Verizon Patent and Licensing Inc. (20240242706). SYSTEMS AND METHODS FOR MULTI-STAGE LANGUAGE ANALYSIS AND REMEDIATION OF ROBOCALLS simplified abstract

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SYSTEMS AND METHODS FOR MULTI-STAGE LANGUAGE ANALYSIS AND REMEDIATION OF ROBOCALLS

Organization Name

Verizon Patent and Licensing Inc.

Inventor(s)

Katrina Marie Kutchko of Edgewater CO (US)

SYSTEMS AND METHODS FOR MULTI-STAGE LANGUAGE ANALYSIS AND REMEDIATION OF ROBOCALLS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240242706 titled 'SYSTEMS AND METHODS FOR MULTI-STAGE LANGUAGE ANALYSIS AND REMEDIATION OF ROBOCALLS

The system described in this patent application can analyze audio from a voice call to determine the amount of speech present, predict the length of a transcript in a specific language, generate or receive the transcript, compare its length to the expected length, and determine if the call is in the particular language.

  • Receive audio from a voice call
  • Analyze the amount of speech in the audio
  • Predict the length of a transcript in a specific language
  • Generate or receive the transcript
  • Compare the actual length of the transcript to the predicted length
  • Determine if the voice call is in the specific language

Potential Applications: - Language identification in voice calls - Quality control for transcription services - Automated language detection for customer service calls

Problems Solved: - Efficient language identification in voice calls - Streamlining transcription processes - Improving accuracy in language detection

Benefits: - Enhanced language recognition capabilities - Time-saving in transcription services - Improved customer service experiences

Commercial Applications: Title: Automated Language Detection System for Voice Calls This technology can be used in call centers, transcription services, and language learning platforms to automate language detection processes, improve transcription accuracy, and enhance customer interactions.

Questions about the technology: 1. How does this system improve efficiency in language identification for voice calls? 2. What are the potential cost-saving benefits for businesses using this automated language detection system?

Frequently Updated Research: Stay updated on advancements in voice recognition technology, language processing algorithms, and transcription software to enhance the performance of this automated language detection system.


Original Abstract Submitted

a system described herein may receive audio associated with a voice call; determine an amount of speech in the audio associated with the voice call; determine, based on the amount of speech, an expected length of a transcript, associated with a particular language, of the voice call; generate or receive the transcript, associated with the particular language, of the voice call; identify a length of the transcript, associated with the particular language, of the voice call; compare the length of the transcript to the expected length of the transcript; determine, based on comparing the length of the transcript to the expected length of the transcript, whether the voice call is associated with the particular language; and output an indication of whether the voice call is associated with the particular language.

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