Automatic Audio Equalization Using Room Position Detection
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Solution Overview
Problem
Manual audio equalization is cumbersome and requires significant user knowledge, making it impractical for average users to achieve consistent audio quality across different room environments and speaker placements without repeated setup and calibration.
Innovation Solution
Implementing automatic audio equalization systems within electronic devices using internal or external microphones to measure phase differences and frequency responses, leveraging machine learning and acoustical models to adjust frequency corrections based on room characteristics and user content, eliminating the need for user interaction and manual calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual audio equalization is performed, then audio quality can be improved, but the process becomes cumbersome and time-consuming requiring user knowledge
Solution Approach 1:
The system performs automatic audio equalization using the device's own microphones and processors to measure room acoustics and apply corrections without user intervention. The device serves itself by autonomously capturing audio responses, analyzing frequency data, and adjusting equalization parameters based on detected room characteristics.
Solution Approach 2:
The patent replaces the manual mechanical process of audio equalization with an automated electronic system. Instead of requiring users to physically adjust equalization controls based on technical knowledge, the system uses electronic sensors (microphones), digital signal processing, and algorithms to automatically measure and correct audio frequency responses.
2Manufacturing precision
If manual equalization is performed, then audio output quality can be adjusted, but it requires repeated setup and calibration when room or placement changes
Solution Approach 1:
The system continuously monitors audio output quality using built-in microphones and automatically adjusts equalization parameters based on real-time feedback from the room environment. When the device is moved or room conditions change, the system re-measures the acoustic response and applies appropriate corrections without requiring user re-calibration.
Solution Approach 2:
The system performs preliminary measurements of room acoustics automatically upon initialization or when movement is detected, preparing equalization corrections in advance. This eliminates the need for users to perform time-consuming setup and calibration procedures each time the room or device placement changes.
3Ease of operation
If automatic audio equalization is implemented, then user intervention is eliminated, but the system complexity increases
Solution Approach 1:
The system uses the device's existing microphones and processors for multiple purposes - both for primary functions (voice recognition, audio playback) and for automatic equalization measurements. This multi-functional approach allows the patent to implement automatic equalization without adding dedicated separate hardware components, thereby reducing overall system complexity.
Solution Approach 2:
The patent introduces software algorithms and processing routines as intermediaries between the microphones and the audio output system. These intermediary components automatically analyze acoustic measurements and generate equalization corrections, bridging the gap between simple sensor inputs and complex audio processing without requiring additional hardware complexity.
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
Enables high-quality audio output without user intervention, automatically adapting to room conditions and speaker placements, improving listening experiences by correcting for echo and bass frequency issues, and simplifying the setup process.
Implementation Method 1
using internal or external microphones to measure phase differences and frequency responses
Data Source
AI summary
The various implementations described herein include methods, devices, and systems for automatic audio equalization. In one aspect, a method is performed at an electronic device that includes speakers, microphones, processors and memory. The electronic device outputs audio user content from the speakers and automatically equalizes subsequent audio output of the device without user input. The automatic equalization includes: (1) obtaining audio content signals, including receiving outputted audio content at each microphone; (2) determining from the audio content signals phase differences between microphones; (3) obtaining a feature vector based on the phase differences; (4) obtaining a frequency correction from a correction database based on the obtained feature vector; and (5) applying the obtained frequency correction to the subsequent audio output.