18454508. Object Audio Coding simplified abstract (Apple Inc.)

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Object Audio Coding

Organization Name

Apple Inc.

Inventor(s)

Sina Zamani of Cupertino CA (US)

Moo Young Kim of San Diego CA (US)

Dipanjan Sen of Dublin CA (US)

Sang Uk Ryu of San Diego CA (US)

Juha O. Merimaa of San Mateo CA (US)

Symeon Delikaris Manias of Los Angeles CA (US)

Object Audio Coding - A simplified explanation of the abstract

This abstract first appeared for US patent application 18454508 titled 'Object Audio Coding

Simplified Explanation

The patent application describes a method for obtaining object audio and metadata, converting the object audio to Ambisonics audio based on the metadata, and encoding the Ambisonics audio and metadata into separate bit streams.

  • Object audio and metadata are obtained.
  • The object audio is converted to Ambisonics audio using the metadata.
  • The Ambisonics audio is encoded in a first bit stream.
  • At least a subset of the metadata is encoded in a second bit stream.

Potential Applications

This technology could be used in virtual reality and augmented reality applications to provide more immersive audio experiences for users. It could also be used in audio production and editing to enhance spatial audio effects.

Problems Solved

This technology solves the problem of accurately representing spatial audio in a digital format. By converting object audio to Ambisonics audio based on metadata, the system can recreate a more realistic audio environment for listeners.

Benefits

- Improved spatial audio quality - Enhanced immersive experiences - More efficient encoding and decoding of audio data

Potential Commercial Applications

"Enhancing Spatial Audio in Virtual Reality and Augmented Reality Applications"

Possible Prior Art

There are existing technologies for encoding and decoding spatial audio, such as Dolby Atmos and DTS:X. However, the specific method described in this patent application may offer unique advantages in terms of efficiency and accuracy.

Unanswered Questions

How does this technology compare to existing spatial audio encoding methods?

This article does not provide a direct comparison to other spatial audio encoding methods, so it is unclear how this technology stacks up against existing solutions in terms of performance and efficiency.

What are the potential limitations of this technology in real-world applications?

The article does not address any potential limitations or challenges that may arise when implementing this technology in practical settings. It would be important to understand any constraints or drawbacks associated with using this method for spatial audio encoding.


Original Abstract Submitted

In one aspect, a computer-implemented method, includes obtaining object audio and metadata that spatially describes the object audio, converting the object audio to Ambisonics audio based on the metadata, encoding, in a first bit stream, the Ambisonics audio, and encoding, in a second bit stream, at least a subset of the metadata.