Audio Parameter Optimization for Streaming Services

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Solution Overview

Problem

Conventional audio optimization systems for media content streaming are manual and static, lacking automated capabilities to adjust audio parameters based on individual content or content categories, leading to suboptimal audio playback experiences.

Innovation Solution

A computing system that retrieves and applies audio parameter settings from databases associated with requested media content or content categories to automatically reconfigure audio playback devices, including frequency response and reverb settings, to enhance audio playback dynamically.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If manual audio parameter adjustment is used, then user control over audio optimization is maintained, but automation capability and adaptability to content are lost

Engineering Contradiction:
Improveautomation capabilityVSAvoidsystem complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The system automatically selects and applies audio parameters based on content metadata without requiring user intervention. The computing system queries databases for content information, determines appropriate audio parameters, and configures playback devices autonomously, enabling the system to serve itself rather than requiring manual user configuration.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses content metadata as feedback to automatically adjust audio parameters. By querying databases for content information and using this feedback to determine appropriate audio settings, the system creates a closed-loop automation that adapts to content characteristics without requiring complex user input or manual reconfiguration.

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If static audio parameter selection is used, then ease of operation is maintained, but adaptability to different content types is reduced

Engineering Contradiction:
Improvecontent adaptabilityVSAvoiduser operation simplicity
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system transitions from static audio parameter selection to dynamic parameter adjustment based on content metadata. The computing system queries databases for content information, determines appropriate audio parameters in real-time, and configures playback devices accordingly, enabling audio optimization to adapt automatically to different content types while maintaining ease of use through automation.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system performs preliminary database queries and parameter determination before content playback begins. By pre-configuring audio parameters based on content metadata retrieved from databases, the system prepares optimal audio settings in advance, eliminating the need for users to manually adjust parameters during playback while maintaining high adaptability to content types.

Inventive Principle:
Principle #10Preliminary action

3Manufacturing precision

If pre-defined audio profiles are used, then ease of operation is maintained, but precision in optimizing for specific content is reduced

Engineering Contradiction:
Improveaudio optimization precisionVSAvoidparameter configuration complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system dynamically changes audio parameters based on specific content metadata rather than using fixed pre-defined profiles. The computing system queries databases for content information, determines appropriate audio parameters (such as frequency response, reverb, and other acoustic characteristics) specific to the content type, and configures playback devices accordingly, achieving precise audio optimization without requiring complex manual parameter configuration.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10516914B2Method and system for implementing automatic audio optimization for streaming services
Publication Date: 2019.12.24 ADEIA MEDIA HOLDINGS INC
  • US10516914B2 patent drawing
  • US10516914B2 patent drawing
  • US10516914B2 patent drawing

AI summary

Novel tools and techniques are provided for implementing media content streaming or playback, and, in particular, automatic audio optimization. In some embodiments, a computing system might receive user input indicating a request for presentation of media content, initiate database lookup in a database for audio parameter settings associated with the requested media content, and determine whether the database contains audio parameter settings specifically associated with the requested media content. If so, the computing system retrieves the audio parameter settings and automatically reconfigures an audio playback device(s) with the retrieved audio parameter settings. If not, the computing system determines whether the database contains audio parameter settings associated with a content category to which the requested media content belongs. If so, such audio parameter settings are retrieved and the audio playback device(s) are reconfigured with the audio parameter settings. If not, the audio playback device(s) are reconfigured with default audio parameter settings.