18233803. Method and System of Audio Detection of a Target Audio Source in Noisy Environments simplified abstract (Intel Corporation)

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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 18233803 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 mixed audio signals by separating them into individual audio sources and determining if they are associated with specific target sources 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 separated audio sources.
  • The system determines if the separated audio sources are associated with specific target sources.

Key Features and Innovation:

  • Audio processing system that separates mixed audio signals into individual sources.
  • Utilizes a neural network for classifying the separated audio sources.
  • Determines association of separated audio sources with target sources.

Potential Applications:

This technology can be used in:

  • Music production to isolate specific instruments or vocals.
  • Speech recognition to enhance voice clarity in noisy environments.
  • Audio editing to remove unwanted background noise.

Problems Solved:

  • Difficulty in isolating specific audio sources in mixed signals.
  • Lack of efficient methods for classifying and associating audio sources with target sources.

Benefits:

  • Improved audio processing accuracy and efficiency.
  • Enhanced audio editing capabilities.
  • Better quality in music production and speech recognition.

Commercial Applications:

Potential commercial applications include:

  • Audio editing software for professionals.
  • Speech recognition systems for improved accuracy.
  • Music production tools for enhanced mixing capabilities.

Prior Art:

Readers can explore prior art related to audio processing, neural networks, and signal separation techniques in academic journals, patent databases, and industry publications.

Frequently Updated Research:

Stay updated on advancements in audio processing, neural network algorithms, and signal separation techniques to enhance the efficiency and accuracy of this technology.

Questions about Audio Processing Technology: 1. How does this technology improve audio editing processes? 2. What are the potential limitations of using neural networks for audio signal classification?


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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