AI-Based Loudspeaker Room Equalization

Solution Overview

Problem

Existing loudspeaker room equalization methods require tedious manual measurements with multiple microphones to calculate energy average and total sound power, which are prone to errors due to extraneous noise and require repeated measurements for each position, especially in rooms with complex sound resonances.

Innovation Solution

A computer-implemented method using artificial intelligence models, such as neural networks, to automatically estimate energy average and total sound power in a listening area or entire room without user interaction, by acquiring sound pressure data from microphones and applying trained AI models to correct frequency responses and improve sound quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual measurements with multiple microphones are used to calculate energy average and total sound power, then measurement precision can be maintained, but device complexity and ease of operation deteriorate due to tedious setup and repeated measurements

Engineering Contradiction:

Improvemeasurement precisionVSAvoiddevice complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical measurement system (multiple microphones, manual positioning, physical measurement equipment) with an artificial intelligence-based acoustic analysis system. The AI model processes audio signals from the loudspeaker to automatically estimate energy average and total sound power, eliminating the need for complex manual measurement setups while maintaining measurement precision through algorithmic analysis of sound field characteristics.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing the AI model to automatically perform measurements and calculations without requiring user interaction for microphone positioning or manual data collection. The system autonomously analyzes the acoustic environment and generates equalization parameters, transforming a labor-intensive manual process into an automated self-executing measurement system.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If manual measurements with multiple microphones are used to calculate energy average and total sound power, then measurement precision can be maintained, but ease of operation deteriorates due to tedious setup and repeated measurements

Engineering Contradiction:

Improvemeasurement precisionVSAvoidease of operation

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent replaces the mechanical measurement system (multiple microphones, manual positioning, physical measurement equipment) with an artificial intelligence-based acoustic analysis system. The AI model processes audio signals from the loudspeaker to automatically estimate energy average and total sound power, eliminating the need for complex manual measurement setups while maintaining measurement precision through algorithmic analysis of sound field characteristics.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing the AI model to automatically perform measurements and calculations without requiring user interaction for microphone positioning or manual data collection. The system autonomously analyzes the acoustic environment and generates equalization parameters, transforming a labor-intensive manual process into an automated self-executing measurement system.

Inventive Principle:

Principle #25Self-service

3Measurement precision

If repeated measurements are performed for each position in rooms with complex sound resonances, then measurement precision improves, but loss of time increases

Engineering Contradiction:

Improvemeasurement precisionVSAvoidloss of time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary action by using the AI model to pre-analyze the acoustic characteristics of the room and predict the optimal equalization parameters before actual playback. The AI model processes the impulse response data and pre-calculates the frequency response corrections needed, eliminating the need for repeated iterative measurements to achieve precision in rooms with complex resonances.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces the mechanical measurement system (multiple microphones, manual positioning, physical measurement equipment) with an artificial intelligence-based acoustic analysis system. The AI model processes audio signals from the loudspeaker to automatically estimate energy average and total sound power, eliminating the need for complex manual measurement setups while maintaining measurement precision through algorithmic analysis of sound field characteristics.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12101624B2Automatic loudspeaker room equalization based on sound field estimation with artificial intelligence models

Publication Date: 2024.09.24 SAMSUNG ELECTRONICS CO LTD

AI summary

One embodiment provides a computer-implemented method that includes acquiring, via at least one microphone, sound pressure data from a loudspeaker in a room. The sound pressure data is input into an artificial intelligence (AI) model. The AI model automatically estimates, without user interaction, at least one of energy average (EA) in a listening area or total sound power (TSP) produced by the loudspeaker. The AI model is trained prior to automatically estimating the at least one of the EA in the listening area or the TSP produced by the loudspeaker.