Audio Signal Envelope Encoding Using Splitting Points and Distribution Quantization

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Solution Overview

Problem

Current audio signal processing techniques, such as linear predictive coding (LPC), face challenges in efficiently encoding and decoding audio signal envelopes, particularly in achieving a smooth and precise spectral envelope representation with low bit-rate and reasonable computational complexity, while combining the benefits of linear predictive and scale-factor band approaches.

Innovation Solution

The proposed solution involves an apparatus and method for audio signal envelope encoding and decoding using distribution quantization, where the audio signal envelope is divided into portions based on splitting points, with a predefined assignment rule determining the signal envelope portion values, ensuring each portion's absolute value is greater than half of the others, allowing for efficient encoding and decoding of the audio signal.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If linear predictive coding (LPC) is used to model the spectral envelope, then the spectral envelope can be represented with reasonable accuracy, but the bit-rate requirement increases and computational complexity becomes high

Engineering Contradiction:
Improvespectral envelope representation accuracyVSAvoidbit-rate requirement
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent divides the spectral envelope into multiple frequency bands (e.g., first spectral envelope and second spectral envelope) and processes each band separately. This segmentation allows for more efficient quantization and coding of each portion, reducing the overall bit-rate requirement while maintaining accuracy through distributed representation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies different quantization strategies to different frequency bands based on their local characteristics. By analyzing the spectral envelope locally in each frequency band and applying appropriate quantization steps, the system achieves efficient compression without sacrificing overall accuracy.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If linear predictive coding (LPC) is used to model the spectral envelope, then the spectral envelope can be represented with reasonable accuracy, but the computational complexity becomes high

Engineering Contradiction:
Improvespectral envelope representation accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the spectral envelope into multiple frequency bands and processes each band independently through simpler quantization operations. This segmentation reduces the computational burden compared to processing the entire spectral envelope as a single unit while maintaining representation accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the representation parameters by transforming the spectral envelope into a distributed representation across multiple frequency bands with different quantization steps. This parameter transformation simplifies the computational operations required for encoding and decoding while preserving the essential spectral characteristics.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If the audio signal envelope is divided into portions with different absolute values, then the encoding efficiency improves, but the reconstruction precision may be compromised

Engineering Contradiction:
Improveencoding efficiencyVSAvoidreconstruction precision
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The patent applies different quantization strategies to different frequency bands based on their local characteristics. By analyzing the spectral envelope locally in each frequency band and applying appropriate quantization steps, the system achieves efficient compression without sacrificing overall accuracy.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent dynamically adjusts the quantization process based on the signal characteristics in each frequency band. The quantization steps are adapted to the local signal properties, allowing for optimal balance between encoding efficiency and reconstruction precision in each region.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS10115406B2Apparatus and method for audio signal envelope encoding, processing, and decoding by splitting the audio signal envelope employing distribution quantization and coding
Publication Date: 2018.10.30 FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
  • US10115406B2 patent drawing
  • US10115406B2 patent drawing
  • US10115406B2 patent drawing

AI summary

An apparatus for decoding to obtain a reconstructed audio signal envelope includes a signal envelope reconstructor for generating the reconstructed audio signal envelope depending on one or more splitting points and an output interface for outputting the reconstructed audio signal envelope. The signal envelope reconstructor is configured to generate the reconstructed audio signal envelope such that the one or more splitting points divide the reconstructed audio signal envelope into two or more audio signal envelope portions, and to generate the reconstructed audio signal envelope such that, for each of the two or more signal envelope portions, an absolute value of its signal envelope portion value is greater than half of an absolute value of the signal envelope portion value of each of the other signal envelope portions.