Adaptive Speaker Volume Presets From Listening Context

Solution Overview

Problem

Users often need to manually adjust audio volume based on various factors such as time of day, location, and type of audio content, which can be inconvenient and inconsistent.

Innovation Solution

A system that learns user preferences over time to automatically preset audio volume based on attributes like audio genre, speaker type, time of day, day of week, and location, using a volume program that adjusts the playback volume accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual volume adjustment is required for different listening conditions, then volume control flexibility is improved, but user convenience and operational simplicity deteriorate

Engineering Contradiction:

Improvevolume control flexibilityVSAvoiduser convenience

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically adjusts volume based on learned user preferences and current listening conditions (audio type, time of day, location, speaker type) without requiring manual user intervention. The volume program learns from user behavior patterns and autonomously presets appropriate volume levels, eliminating the need for repeated manual adjustments while maintaining adaptability to different listening scenarios

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary learning of user volume preferences across different conditions in advance, building a knowledge base of preferred volume settings. When a listening situation occurs, the system has already prepared the appropriate volume preset through prior learning, enabling immediate automatic adjustment without requiring real-time manual input from the user

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If volume is manually adjusted for each listening scenario, then listening precision is improved, but time consumption and operational efficiency deteriorate

Engineering Contradiction:

Improvelistening precisionVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system incorporates feedback mechanisms where user volume adjustments are monitored and used to refine and update the learned preferences. The volume program continuously learns from user behavior patterns, improving the accuracy of automatic volume presets over time while eliminating the need for repeated manual adjustments in similar listening scenarios

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary learning of user volume preferences across different conditions in advance, building a knowledge base of preferred volume settings. When a listening situation occurs, the system has already prepared the appropriate volume preset through prior learning, enabling immediate automatic adjustment without requiring real-time manual input from the user

Inventive Principle:

Principle #10Preliminary action

3Ease of operation

If automatic volume presetting is implemented, then user convenience is improved, but system complexity deteriorates

Engineering Contradiction:

Improveuser convenienceVSAvoidsystem complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system automatically adjusts volume based on learned user preferences and current listening conditions (audio type, time of day, location, speaker type) without requiring manual user intervention. The volume program learns from user behavior patterns and autonomously presets appropriate volume levels, eliminating the need for repeated manual adjustments while maintaining adaptability to different listening scenarios

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The volume program serves multiple functions: it monitors user behavior, learns preferences, stores preference data, determines current listening conditions, selects appropriate presets, and adjusts volume automatically. This multi-functionality is achieved through a single integrated learning system that handles all aspects of volume control, reducing the need for separate complex subsystems

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS10243528B2Speaker volume preference learning

Publication Date: 2019.03.26 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Audio information of audio content being listened to by a user is received. An aspect of a listening environment of the user is identified. A volume preset, based on the audio information and the aspect of the listening environment, is determined to be available. A first volume of the audio content being listened to by the user is determined to be different from the volume preset. The first volume of the audio content is adjusted to a second volume.