Multiband Range Compression With Filterbanks for Loudness Control

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Solution Overview

Problem

Existing audio processing technologies face challenges in achieving high-quality audio reproduction, particularly in maintaining spectral balance and controlling audio quality through dynamic range compression, with single-frequency band compression being simplistic but limited and multi-frequency band compression being complex and prone to artifacts.

Innovation Solution

The implementation of a multiband range compression apparatus using perfect reconstruction filterbanks, neural networks, and the ITU-R BS.1770 standard for intelligent loudness control, which enables sub-band compression to enhance audio quality while minimizing artifacts and extending to arbitrary parameter settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If single-frequency band compression is used, then device complexity is reduced, but audio quality and spectral balance control deteriorate

Engineering Contradiction:
Improvecompression system complexityVSAvoidspectral balance control
Core Design Contradiction:
Device complexityVSManufacturing precision

Solution Approach 1:

The audio signal is divided into multiple frequency bands using filterbanks, allowing independent compression control for each band. This segmentation enables precise spectral balance control while maintaining manageable system complexity through modular band processing.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different compression parameters (thresholds, ratios, attack/release times) are applied to different frequency bands based on their specific characteristics. This local optimization allows tailored audio quality control for bass, midrange, and treble regions without requiring complex global processing.

Inventive Principle:
Principle #3Local quality

2Manufacturing precision

If multi-frequency band compression is used, then audio quality and spectral balance control are improved, but device complexity and artifact generation increase

Engineering Contradiction:
Improveaudio quality controlVSAvoidcompression system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The audio spectrum is segmented into manageable frequency bands with dedicated compression processors. Each band can be optimized independently for audio quality while the overall system complexity remains controlled through standardized processing modules.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Compression is applied selectively to specific frequency bands where it provides the most benefit, rather than uniformly across the entire spectrum. This partial action approach improves audio quality in critical bands while minimizing complexity and artifact generation in less critical regions.

Inventive Principle:
Principle #16Partial or excessive action

3Manufacturing precision

If multi-frequency band compression is used, then audio quality is improved, but artifact generation increases

Engineering Contradiction:
Improveaudio qualityVSAvoidcompression artifacts
Core Design Contradiction:
Manufacturing precisionVSObject-generated harmful factors

Solution Approach 1:

Compression processing is applied only to frequency bands where it provides audible benefit, avoiding unnecessary processing in bands where artifacts would be more noticeable or less beneficial. This selective application reduces overall artifact generation while maintaining audio quality improvement.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

Compression parameters such as threshold, ratio, attack, and release are dynamically adjusted for each frequency band based on signal characteristics and listening conditions. These parameter optimizations minimize artifact generation by adapting compression strength to match the local audio content and perceptual importance.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11176958B2Loudness enhancement based on multiband range compression
Publication Date: 2021.11.16 HEWLETT PACKARD DEVELOPMENT COMPANY LP
  • US11176958B2 patent drawing
  • US11176958B2 patent drawing
  • US11176958B2 patent drawing

AI summary

In some examples, loudness enhancement based on multiband range compression may include determining, based on variations in compression parameters that include compression thresholds and compression ratios, corresponding variations in loudness levels for a specified loudness standard. A learning model may be trained based on the variations in the compression parameters and the corresponding variations in the loudness levels. A specified loudness level for a device may be ascertained, for example, from a user of the device. The compression parameters for the specified loudness level may be determined based on the trained learning model. Further, sub-band compression of an input audio signal may be performed, based on the determined compression parameters, by processing the input audio signal using a perfect reconstruction filterbank.