GN Audio A/S (20240319955). AUDIO DEVICE WITH UNCERTAINTY QUANTIFICATION AND RELATED METHODS simplified abstract

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AUDIO DEVICE WITH UNCERTAINTY QUANTIFICATION AND RELATED METHODS

Organization Name

GN Audio A/S

Inventor(s)

Clément Laroche of Ballerup (DK)

Diego Caviedes Nozal of Ballerup (DK)

AUDIO DEVICE WITH UNCERTAINTY QUANTIFICATION AND RELATED METHODS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240319955 titled 'AUDIO DEVICE WITH UNCERTAINTY QUANTIFICATION AND RELATED METHODS

The abstract describes an audio device that utilizes memory, an interface, and processors to process audio data and provide audio output. The device also analyzes audio data to determine various characteristics and maps them to a neural network to assess processing quality and uncertainty.

  • The audio device includes memory, an interface, and one or more processors.
  • The processors obtain and process audio data for audio output.
  • The processors analyze the audio data to determine characteristics and map them to a neural network.
  • The neural network provides a mapping parameter indicating if the characteristics belong to a training manifold.
  • An uncertainty parameter is determined based on the mapping parameter to assess processing quality.
  • The device adjusts the processing of audio data based on the uncertainty parameter.

Potential Applications: - Audio processing and enhancement in various devices such as headphones, speakers, and smartphones. - Quality control in audio production and editing software. - Real-time audio analysis for live performances or broadcasts.

Problems Solved: - Improved audio processing accuracy and quality. - Enhanced control over audio output based on uncertainty assessment. - Efficient mapping of audio parameters for better performance.

Benefits: - Enhanced audio output quality. - Real-time adjustments for optimal audio processing. - Improved user experience in audio-related applications.

Commercial Applications: Title: "Advanced Audio Processing Device for Enhanced Sound Quality" This technology can be utilized in consumer electronics, professional audio equipment, and software applications for audio production and editing. It can cater to audiophiles, musicians, sound engineers, and content creators looking for high-quality audio processing solutions.

Questions about the technology: 1. How does the device determine the uncertainty parameter for processing quality? 2. What are the potential implications of using neural networks in audio processing devices?


Original Abstract Submitted

an audio device comprising memory, an interface, and one or more processors, wherein the one or more processors are configured to obtain audio data; process the audio data for provision of an audio output; process the audio data for provision of one or more audio parameters indicative of one or more characteristics of the audio data; map the one or more audio parameters to a first latent space of a first neural network for provision of a mapping parameter indicative of whether the one or more audio parameters belong to a training manifold of the first latent space; determine, based on the mapping parameter, an uncertainty parameter indicative of an uncertainty of processing quality; and control the processing of the audio data for provision of the audio output based on the uncertainty parameter.