Google llc (20240105190). GUIDING AMBISONIC AUDIO COMPRESSION BY DECONVOLVING LONG WINDOW FREQUENCY ANALYSIS simplified abstract
Contents
- 1 GUIDING AMBISONIC AUDIO COMPRESSION BY DECONVOLVING LONG WINDOW FREQUENCY ANALYSIS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GUIDING AMBISONIC AUDIO COMPRESSION BY DECONVOLVING LONG WINDOW FREQUENCY ANALYSIS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
GUIDING AMBISONIC AUDIO COMPRESSION BY DECONVOLVING LONG WINDOW FREQUENCY ANALYSIS
Organization Name
Inventor(s)
Jyrki Antero Alakuijala of Wollerau (CH)
Moritz Firsching of Basel (CH)
Thomas Fischbacher of Gattikon (CH)
Evgenii Kliuchnikov of Thalwil (CH)
GUIDING AMBISONIC AUDIO COMPRESSION BY DECONVOLVING LONG WINDOW FREQUENCY ANALYSIS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240105190 titled 'GUIDING AMBISONIC AUDIO COMPRESSION BY DECONVOLVING LONG WINDOW FREQUENCY ANALYSIS
Simplified Explanation
The abstract describes a method for processing audio signals using a series of steps including transforming the signal, interpolating it, applying a mask, and compressing it.
- Receiving an audio signal
- Generating a transformed audio signal by using multiple windows separated in time
- Generating an interpolated audio signal from the transformed signal
- Applying a mask to the interpolated signal to create a separated audio signal
- Compressing the separated audio signal
Potential Applications
This technology could be applied in audio processing software for noise reduction, speech enhancement, and audio source separation.
Problems Solved
This technology solves the problem of separating audio signals that are mixed together, allowing for clearer and more distinct audio output.
Benefits
The benefits of this technology include improved audio quality, enhanced speech intelligibility, and better overall listening experience for users.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of audio editing software for professionals in the music and film industry.
Possible Prior Art
One possible prior art for this technology could be existing audio processing algorithms used in noise cancellation and audio source separation software.
Unanswered Questions
How does this technology compare to existing audio separation methods in terms of efficiency and accuracy?
This article does not provide a direct comparison with existing methods, leaving the reader to wonder about the performance of this technology in relation to others.
Are there any limitations or constraints in the implementation 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, leaving room for further exploration and analysis.
Original Abstract Submitted
a method including receiving an audio signal, generating a transformed audio signal by transforming the audio signal using a plurality of windows each separated in time, generating an interpolated audio signal by interpolating the transformed audio signal, generating a separated audio signal by applying a mask to the interpolated audio signal, and compressing the separated audio signal.
