Audio Playback Adaptation via Scenario-Based Recommendation Coefficients

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Solution Overview

Problem

Conventional audio playback control methods do not consider user preferences in different environments, leading to a mismatch between preset audio settings and user preferences, requiring frequent adjustments and reducing adaptability and convenience.

Innovation Solution

A user scenario-based audio playback method that obtains the current user scenario and historical data, determines candidate preset information, calculates a recommendation coefficient based on scenario relevance and playback history, and adjusts audio playback parameters accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional audio playback control method is used with preset information, then the audio playback can be controlled, but the match between audio preset information and user preferences in different environments is low

Engineering Contradiction:

Improveadaptability of audio playback to user preferencesVSAvoidfrequency of manual adjustment required

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system collects user historical data including playback history and selection behavior, processes this feedback information through a recommendation algorithm, and dynamically adjusts preset information to match user preferences. This creates a closed-loop system that continuously improves adaptability based on actual user behavior patterns.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system automatically generates personalized preset information by analyzing user historical data without requiring manual user input or adjustment. The audio device self-adjusts the preset information based on accumulated usage patterns, making the system progressively more adaptive to individual user preferences over time.

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If audio preset information is fixed, then the device configuration is simple, but the user frequently needs to readjust audio parameters

Engineering Contradiction:

Improvematching accuracy of audio settingsVSAvoidcomplexity of audio playback control system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-calculates and stores multiple candidate preset information options based on different user scenarios and historical behavior patterns. When audio playback is initiated, the system has already prepared optimized preset options ready for immediate application, eliminating the need for real-time manual adjustment during playback.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If user historical data is collected and analyzed, then the recommendation accuracy improves, but the data processing complexity increases

Engineering Contradiction:

Improveaccuracy of scenario relevance calculationVSAvoidcomplexity of data processing system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system replaces complex manual analysis and decision-making with automated computational algorithms. The recommendation algorithm automatically processes user historical data, calculates scenario relevance, and generates personalized preset information without requiring manual intervention, thereby improving accuracy while managing complexity through automation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12277367B1User scenario-based audio playback method, apparatus and device, and storage medium

Publication Date: 2025.04.15 LINKPLAY TECHNOLOGY INC

AI summary

A user scenario-based audio playback method includes: obtaining a target user scenario that a user is currently in and user historical data; determining a plurality of pieces of candidate preset information corresponding to the target user scenario from a preset device configuration information table; calculating, based on the user historical data, a degree of scenario relevance, the quantity of playbacks and the quantity of selected times of a corresponding preset state of each candidate preset information; calculating a recommendation coefficient of each candidate preset information based on the degree of scenario relevance, the quantity of playbacks and the quantity of selected times; determining target preset information from the plurality of pieces of candidate preset information according to the recommendation coefficient; and adjusting a playback parameter of an audio device based on the target preset information and playing an audio.