View source for 20240022868. METHOD AND APPARATUS FOR GENERATING AN INTERMEDIATE AUDIO FORMAT FROM AN INPUT MULTICHANNEL AUDIO SIGNAL simplified abstract (DOLBY INTERNATIONAL AB)

=METHOD AND APPARATUS FOR GENERATING AN INTERMEDIATE AUDIO FORMAT FROM AN INPUT MULTICHANNEL AUDIO SIGNAL=


==Organization Name==

[[:Category:DOLBY INTERNATIONAL AB|DOLBY INTERNATIONAL AB]]


[[Category:DOLBY INTERNATIONAL AB]]

==Inventor(s)==

[[:Category:Daniel Arteaga of Barcelona (ES)|Daniel Arteaga of Barcelona (ES)]][[Category:Daniel Arteaga of Barcelona (ES)]]

[[:Category:Jordi Pons Puig of Olot (ES)|Jordi Pons Puig of Olot (ES)]][[Category:Jordi Pons Puig of Olot (ES)]]

==METHOD AND APPARATUS FOR GENERATING AN INTERMEDIATE AUDIO FORMAT FROM AN INPUT MULTICHANNEL AUDIO SIGNAL - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240022868 titled 'METHOD AND APPARATUS FOR GENERATING AN INTERMEDIATE AUDIO FORMAT FROM AN INPUT MULTICHANNEL AUDIO SIGNAL

==Simplified Explanation==

The abstract describes a method for training a machine learning algorithm in the field of audio signal processing. The method involves receiving a multichannel audio signal as input and using the machine learning algorithm to generate an intermediate audio signal based on the input. The intermediate audio signal is then rendered into a multichannel output audio signal. The machine learning algorithm is improved based on the difference between the input and output audio signals.

* The method involves training a machine learning algorithm using multichannel audio signals.
* An intermediate audio signal is generated based on the input audio signal using the machine learning algorithm.
* The intermediate audio signal is rendered into a multichannel output audio signal.
* The machine learning algorithm is improved based on the difference between the input and output audio signals.

Potential applications of this technology:
* Audio signal processing and enhancement in various industries such as music production, film and television, and virtual reality.
* Noise cancellation and spatial audio processing for immersive audio experiences.
* Speech recognition and audio classification tasks.

Problems solved by this technology:
* Improves the accuracy and quality of audio signal processing tasks.
* Enables the enhancement and manipulation of multichannel audio signals.
* Reduces noise and improves the clarity of audio signals.

Benefits of this technology:
* Provides a more efficient and effective method for training machine learning algorithms in the field of audio signal processing.
* Enhances the capabilities of audio processing systems, leading to improved audio quality and user experience.
* Enables the development of advanced audio applications and technologies.


==Original Abstract Submitted==

described herein is a method for training a machine learning algorithm. the method may comprise receiving a first input multichannel audio signal. the method may comprise generating, using the machine learning algorithm, an intermediate audio signal based on the first input multichannel audio signal. the method may comprise rendering the intermediate audio signal into a first output multichannel audio signal. further, the method may comprise improving the machine learning algorithm based on a difference between the first input multichannel audio signal and the first output multichannel audio signal. described herein are further an apparatus for generating an intermediate audio format from an input multichannel audio signal as well as a respective computer program product comprising a computer-readable storage medium with instructions adapted to carry out said method when executed by a device having processing capability.



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