Hewlett-Packard Development Company, L.P. (20240257826). AUDIO SIGNAL QUALITY SCORES simplified abstract

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AUDIO SIGNAL QUALITY SCORES

Organization Name

Hewlett-Packard Development Company, L.P.

Inventor(s)

Edward Etayo of Spring TX (US)

Hui Leng Lim of Spring TX (US)

Peter Siyuan Zhang of Spring TX (US)

AUDIO SIGNAL QUALITY SCORES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240257826 titled 'AUDIO SIGNAL QUALITY SCORES

Simplified Explanation: This patent application describes a system where a processor in an electronic device receives an audio signal, detects audio events, assigns disruption scores to these events, calculates a running average of the disruption scores, and displays a quality score based on the running average.

Key Features and Innovation:

  • Machine-readable medium stores instructions for processing audio signals.
  • Processor detects audio events and assigns disruption scores.
  • Running average of disruption scores is calculated.
  • Quality score displayed based on running average.

Potential Applications: This technology can be used in audio processing applications, such as in audio editing software, noise cancellation systems, and audio quality assessment tools.

Problems Solved: This technology addresses the need for real-time assessment of audio quality, allowing for immediate feedback and adjustments to audio signals.

Benefits:

  • Improved audio quality assessment.
  • Real-time monitoring of audio signals.
  • Enhanced user experience in audio applications.

Commercial Applications: The technology can be utilized in industries such as music production, telecommunications, and consumer electronics for improving audio quality in various products and services.

Prior Art: Prior art related to this technology may include research on audio signal processing, quality assessment algorithms, and audio event detection methods.

Frequently Updated Research: Researchers may be exploring advancements in audio signal processing, machine learning algorithms for audio analysis, and applications of real-time quality assessment in audio technology.

Questions about the Technology: 1. How does this technology compare to existing audio quality assessment methods? 2. What are the potential limitations of using disruption scores to calculate audio quality?


Original Abstract Submitted

in some examples, a non-transitory machine-readable medium is provided. the non-transitory machine-readable medium stores machine-readable instructions that, when executed by a processor of an electronic device, cause the processor to receive an audio signal over a time period, to detect audio events in the audio signal, to assign a distinct disruption score to each of the audio events, to calculate a running average of the disruption scores, and to cause a display device to display a quality score based on the running average, where the quality score is indicative of a perceived quality of the audio signal.