Intel Corporation (20240211728). Method and System of Audio Detection of a Target Audio Source in Noisy Environments simplified abstract

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Method and System of Audio Detection of a Target Audio Source in Noisy Environments

Organization Name

Intel Corporation

Inventor(s)

Rita Chattopadhyay of Chandler AZ (US)

Stanley Mo of Portland OR (US)

Matias Almada of South Lake Tahoe CA (US)

Steven Krebs of Maricopa AZ (US)

Method and System of Audio Detection of a Target Audio Source in Noisy Environments - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240211728 titled 'Method and System of Audio Detection of a Target Audio Source in Noisy Environments

Simplified Explanation:

This patent application describes a system that processes audio signals by separating mixed audio into individual sources and determining their association with specific targets using a neural network.

  • The system receives a mixed audio signal with multiple sources.
  • It separates the signal into individual target audio sources.
  • It uses a neural network to classify the target audio sources.
  • The system determines if the target audio sources are associated with specific targets.

Key Features and Innovation:

  • Audio processing system separates mixed audio signals into individual sources.
  • Utilizes a neural network for classifying target audio sources.
  • Determines associations between target audio sources and specific targets.

Potential Applications:

This technology could be used in:

  • Music production to isolate individual instruments or vocals.
  • Speech recognition to enhance audio quality and accuracy.
  • Audio surveillance for identifying specific sounds in a noisy environment.

Problems Solved:

  • Difficulty in isolating individual audio sources from a mixed signal.
  • Lack of efficient methods for classifying target audio sources.
  • Challenges in determining associations between audio sources and specific targets.

Benefits:

  • Improved audio processing accuracy and efficiency.
  • Enhanced capabilities for isolating and classifying audio sources.
  • Increased accuracy in determining associations between audio sources and targets.

Commercial Applications:

Potential commercial applications include:

  • Audio editing software for professionals in the music industry.
  • Speech recognition technology for improved accuracy in voice-controlled devices.
  • Security systems for identifying specific sounds in surveillance footage.

Questions about Audio Processing Technology:

1. How does the system separate mixed audio signals into individual sources? 2. What are the advantages of using a neural network for classifying target audio sources?


Original Abstract Submitted

a computer-implemented system, platform, device, and method of audio processing comprises receiving, by processor circuitry, a mixed audio signal having a plurality of audio sources, and separating the mixed audio signal into at least one separate target audio source signal; and determining whether or not the at least one separate target audio source signal is associated with at least one target audio source. this also comprises inputting at least one of the separate target audio source signals into a classifying neural network.

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