Audio Processing System with Content-Based Parameter Retrieval

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Solution Overview

Problem

Audio systems lack the ability to automatically retrieve and apply optimal audio reproduction parameters tailored to specific audio content types, leading to suboptimal listening experiences as users manually adjust settings for different types of audio programs.

Innovation Solution

An audio processing system that stores audio reproduction parameters associated with identifying parameters of audio content, allowing for automatic retrieval and application of these settings when similar content is played, using metadata and user identity to assign identifiers and adjust settings such as equalization, delay, and sound levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If audio systems allow manual adjustment of settings for different audio programs, then users can optimize audio quality for specific content types, but the ease of operation deteriorates due to repeated manual adjustments

Engineering Contradiction:
Improveaudio quality optimizationVSAvoidmanual setting adjustment
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The audio system automatically detects audio content metadata and applies appropriate audio reproduction parameters without requiring user intervention. The system serves itself by autonomously selecting and applying optimal settings based on detected content type, eliminating the need for manual adjustments while maintaining high audio quality.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system pre-stores multiple audio reproduction parameters associated with different audio content types in a database. When audio content is detected, the system retrieves and applies the pre-configured parameters in advance, avoiding the need for users to manually adjust settings during playback.

Inventive Principle:
Principle #10Preliminary action

2Extent of automation

If audio systems store and retrieve audio parameters based on content identifiers, then automation improves reducing manual intervention, but device complexity increases due to parameter storage and retrieval mechanisms

Engineering Contradiction:
Improveautomatic parameter applicationVSAvoidparameter storage and retrieval system
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The audio system uses a universal database structure that stores not only audio parameters but also metadata about audio content types. This multi-functional storage system serves multiple purposes: identifying content types, retrieving appropriate parameters, and managing user preferences, thereby reducing overall system complexity despite the added automation capabilities.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an intermediary database layer that mediates between the audio content detection and the audio parameter application. This intermediate storage structure simplifies the relationship between content identification and parameter retrieval, making the automated system more manageable and less complex.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If the system detects audio content through metadata analysis, then adaptability to different content types improves, but measurement precision requirements increase due to metadata detection and analysis

Engineering Contradiction:
Improvecontent type recognitionVSAvoidmetadata detection accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system changes the detection parameters from analyzing raw audio signals to analyzing metadata associated with audio content. By working with pre-processed metadata information rather than raw audio data, the system achieves high adaptability to different content types while reducing the measurement precision requirements for the detection process itself.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enhances the listening experience by automatically applying optimal audio settings based on content type, reducing user intervention and ensuring consistent quality across different audio programs.

Implementation Method 1

an audio transducer configured to convert an audio signal into an acoustic signal

Methodology Applied
Scientific EffectElectroacoustic transduction:

Data Source

PatentUS10846045B2Content based dynamic audio settings
Publication Date: 2020.11.24 BOSE CORP
  • US10846045B2 patent drawing
  • US10846045B2 patent drawing
  • US10846045B2 patent drawing

AI summary

Audio processing systems and methods are configured to receive audio program content and to reproduce the audio program content in accord with at least one audio parameter. The audio parameter is stored with a relation to an identifier associated with the audio program content. The audio parameter may be later retrieved for reproduction of associated audio program content.