Electronic Device Audio Calibration via Neural Network Location Detection
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Solution Overview
Problem
Existing audio playback devices struggle to optimize audio quality in varying environments due to differences in absorption and reflection properties, requiring manual user input for room calibration which is inefficient and sub-optimal.
Innovation Solution
An electronic device equipped with a microphone to measure the impulse response of its environment, using an artificial neural network to determine its location and adjust audio playback parameters such as frequency and time response for optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual user input is used for room calibration, then the device can be configured for specific environment, but the process is inefficient and sub-optimal
Solution Approach 1:
The device performs automatic self-calibration by measuring its own impulse response in the environment and using an artificial neural network to determine its location and optimize audio parameters without requiring manual user input or external calibration tools
Solution Approach 2:
The system performs preliminary measurements of the impulse response and preliminary processing through the artificial neural network to automatically determine optimal audio playback parameters before actual audio content is played
2Adaptability or versatility
If adjustable audio playback parameters are provided, then audio quality can be optimized for different environments, but the device complexity increases
Solution Approach 1:
The device automatically determines and adjusts optimal audio playback parameters by measuring its own impulse response and processing the data through an embedded artificial neural network, eliminating the need for manual parameter adjustment mechanisms
Solution Approach 2:
The system automatically changes audio playback parameters such as frequency response and time response based on the determined location and environmental characteristics, enabling adaptation to different environments without increasing user-facing 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
This method allows for automatic calibration and improved audio quality by tailoring the device's performance to its specific environment, reducing the need for user input and enhancing the listening experience.
Implementation Method 1
receiving data representing a measurement of an impulse response of an environment in which the electronic device is located
Data Source
AI summary
An electronic device comprises a loudspeaker. The electronic device is operable to perform playback of audio content, via the loudspeaker, based on an audio playback parameter of the electronic device. Data representing a measurement of an impulse response of an environment in which the electronic device is located is received. The received data is processed to obtain output data indicative of a location, within the environment, of the electronic device. The output data is obtained via an artificial neural network trained to determine the location using the measurement of the impulse response. The audio playback parameter of the electronic device is determined based on the obtained output data.