View source for 20240045649. METHODS AND APPARATUS FOR DYNAMIC VOLUME ADJUSTMENT VIA AUDIO CLASSIFICATION simplified abstract (Gracenote, Inc.)

=METHODS AND APPARATUS FOR DYNAMIC VOLUME ADJUSTMENT VIA AUDIO CLASSIFICATION=


==Organization Name==

[[:Category:Gracenote, Inc.|Gracenote, Inc.]]


[[Category:Gracenote, Inc.]]

==Inventor(s)==

[[:Category:Markus Cremer of Orinda CA (US)|Markus Cremer of Orinda CA (US)]][[Category:Markus Cremer of Orinda CA (US)]]

[[:Category:Robert Coover of Orinda CA (US)|Robert Coover of Orinda CA (US)]][[Category:Robert Coover of Orinda CA (US)]]

[[:Category:Steven D. Scherf of Oakland CA (US)|Steven D. Scherf of Oakland CA (US)]][[Category:Steven D. Scherf of Oakland CA (US)]]

[[:Category:Cameron Aubrey Summers of Oakland CA (US)|Cameron Aubrey Summers of Oakland CA (US)]][[Category:Cameron Aubrey Summers of Oakland CA (US)]]

==METHODS AND APPARATUS FOR DYNAMIC VOLUME ADJUSTMENT VIA AUDIO CLASSIFICATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240045649 titled 'METHODS AND APPARATUS FOR DYNAMIC VOLUME ADJUSTMENT VIA AUDIO CLASSIFICATION

==Simplified Explanation==

The patent application describes a method and apparatus for dynamically adjusting the volume of audio signals based on their classification. The apparatus includes a memory, instructions, and a processor to execute the instructions. The method involves analyzing an audio signal using a neural network to determine a classification group associated with the signal. The input volume of the audio signal is determined, and a classification gain value is calculated based on the classification group. An intermediate gain value is then determined by applying weights to the input volume and the classification gain value. This intermediate gain value is applied to the audio signal to modify the volume level. Additionally, a compression value is applied to further modify the volume level to meet a target volume threshold.

* The patent application describes a method and apparatus for dynamically adjusting the volume of audio signals based on their classification.
* The apparatus includes a memory, instructions, and a processor to execute the instructions.
* The method involves analyzing an audio signal using a neural network to determine a classification group associated with the signal.
* The input volume of the audio signal is determined.
* A classification gain value is calculated based on the classification group.
* An intermediate gain value is determined by applying weights to the input volume and the classification gain value.
* This intermediate gain value is applied to the audio signal to modify the volume level.
* A compression value is applied to further modify the volume level to meet a target volume threshold.

Potential applications of this technology:
* Audio devices and systems that automatically adjust the volume based on the content being played.
* Communication systems that optimize the volume levels for different types of audio signals, such as voice calls, music, or background noise.
* Media streaming platforms that dynamically adjust the volume of audio content to provide a consistent listening experience.

Problems solved by this technology:
* Inconsistent volume levels in audio content can be addressed, providing a more enjoyable and consistent listening experience.
* Users no longer need to manually adjust the volume when switching between different types of audio content.
* Communication systems can optimize volume levels for better clarity and understanding.

Benefits of this technology:
* Improved user experience by automatically adjusting volume levels based on the content being played.
* Enhanced audio quality and clarity in communication systems.
* Increased convenience as users do not need to constantly adjust the volume.


==Original Abstract Submitted==

methods, apparatus, systems and articles of manufacture are disclosed for dynamic volume adjustment via audio classification. example apparatus include at least one memory; instructions; and at least one processor to execute the instructions to: analyze, with a neural network, a parameter of an audio signal associated with a first volume level to determine a classification group associated with the audio signal; determine an input volume of the audio signal; determine a classification gain value based on the classification group; determine an intermediate gain value as an intermediate between the input volume and the classification gain value by applying a first weight to the input volume and a second weight to the classification gain value; apply the intermediate gain value to the audio signal, the intermediate gain value to modify the first volume level to a second volume level; and apply a compression value to the audio signal, the compression value to modify the second volume level to a third volume level that satisfies a target volume threshold.



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