View source for 18275238. Apparatus, Methods and Computer Programs for Enabling Audio Rendering simplified abstract (Nokia Technologies Oy)

=Apparatus, Methods and Computer Programs for Enabling Audio Rendering=


==Organization Name==

[[:Category:Nokia Technologies Oy|Nokia Technologies Oy]]


[[Category:Nokia Technologies Oy]]

==Inventor(s)==

[[:Category:Antti Johannes Eronen of Tampere (FI)|Antti Johannes Eronen of Tampere (FI)]][[Category:Antti Johannes Eronen of Tampere (FI)]]

[[:Category:Francesco Cricri of Tampere (FI)|Francesco Cricri of Tampere (FI)]][[Category:Francesco Cricri of Tampere (FI)]]

==Apparatus, Methods and Computer Programs for Enabling Audio Rendering - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18275238 titled 'Apparatus, Methods and Computer Programs for Enabling Audio Rendering

==Simplified Explanation==

The patent application describes an apparatus with circuitry that can obtain audio content representing at least one audio space and enable digital signal processing operations to render the audio content with a target response for the audio space. The circuitry controls the digital signal processing operations based on the obtained target response, adjusting parameters accordingly.

* The apparatus includes circuitry for obtaining audio content representing different audio spaces.
* The circuitry enables digital signal processing operations to render the audio content with specific target responses for each audio space.
* The control of the digital signal processing operations is based on the obtained target responses, allowing for parameter adjustments as needed.
* When the target response is known, the circuitry obtains parameters for the digital signal processing operation directly.
* When the target response is unknown, the circuitry obtains parameters for a neural network, which then determines parameters for the digital signal processing operation.

== Potential Applications ==
This technology could be applied in audio engineering, virtual reality, gaming, and entertainment industries to create immersive audio experiences tailored to specific spaces.

== Problems Solved ==
This technology solves the problem of optimizing audio content for different audio spaces, ensuring that the rendered audio has the desired response for each space.

== Benefits ==
The benefits of this technology include enhanced audio quality, immersive experiences, and personalized audio settings for different environments.

== Potential Commercial Applications ==
One potential commercial application of this technology could be in the development of audio processing software for professional audio engineers, content creators, and entertainment companies.

== Possible Prior Art ==
Prior art in the field of audio signal processing and neural networks may exist, but specific examples are not provided in this patent application.

=== Unanswered Questions ===

=== How does this technology compare to existing audio processing solutions on the market? ===
This article does not provide a direct comparison with existing audio processing solutions, leaving the reader to wonder about the competitive advantages of this technology.

=== What are the specific parameters used in the digital signal processing operations and neural network algorithms? ===
The article mentions obtaining parameters for these operations but does not delve into the specifics, leaving a gap in understanding the technical aspects of the technology.


==Original Abstract Submitted==

Example apparatus include circuitry for: obtaining audio content representing at least one audio space; enabling at least one digital signal processing operation to render the audio content such that the rendered audio content includes at least one target response for the at least one audio space wherein the enabling of the at least one digital signal processing operation to render the audio content is controlled based on obtaining the at least one target response for the at least one audio space. When the obtained target response is known the circuitry obtains at least one parameter for the at least one digital signal processing operation. When the obtained target response is unknown the circuitry obtains at least one parameter for a neural network and determines at least one parameter for the at least one digital signal processing operation.



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