Neural Network Audio Impairment Detection
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Solution Overview
Problem
Existing media playback systems face challenges in accurately calibrating playback devices due to environmental impairments such as obstructions and debris affecting sound emission and detection, which can lead to suboptimal audio quality.
Innovation Solution
A neural network-based system that detects impairments by analyzing sound responses and adjusts calibration settings using a principle component matrix to offset environmental effects, allowing for improved audio fidelity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional calibration methods are used without impairment detection, then the calibration process is simple and fast, but the audio quality deteriorates due to environmental impairments such as obstructions and debris
Solution Approach 1:
The system performs preliminary impairment detection by analyzing test signals before final calibration is applied. The neural network detects environmental impairments (obstructions, debris) in advance, allowing the calibration process to be adjusted accordingly, thus ensuring high audio quality without requiring complex real-time intervention during playback
Solution Approach 2:
A neural network acts as an intermediary component between the test signal and the calibration process. This intermediary analyzes the test signal to detect impairments and provides guidance for calibration adjustment, resolving the contradiction by adding a manageable level of complexity that significantly improves audio quality
2Reliability
If impairment detection and compensation is implemented, then audio quality is improved, but the calibration process becomes more complex and time-consuming
Solution Approach 1:
The system performs impairment detection using test signals before final calibration is applied. By detecting environmental impairments in advance and preparing compensation parameters preliminarily, the system minimizes the time added to the calibration process while ensuring high audio quality
Solution Approach 2:
The system changes calibration parameters based on detected impairments rather than redesigning the entire calibration process. The neural network identifies specific impairment types and the system adjusts relevant calibration parameters accordingly, reducing the time penalty compared to a complete recalibration
3Adaptability or versatility
If environmental impairments are detected and compensated, then consistent audio quality across environments is achieved, but the system requires more sophisticated processing and analysis capabilities
Solution Approach 1:
A neural network serves as an intermediary processing layer that analyzes test signals to detect environmental impairments. This intermediary provides sophisticated environmental adaptability by identifying obstruction types and debris conditions, while keeping the overall system complexity manageable through specialized processing rather than general-purpose complexity
Solution Approach 2:
The system achieves environmental adaptability by changing calibration parameters based on detected impairment conditions. Rather than requiring a completely different system for each environment, the neural network identifies environmental characteristics and the system adjusts parameters accordingly, providing versatility with controlled complexity
Data Source
AI summary
Examples described herein involve detecting known environmental conditions of using a neural network. An example implementation involves a playback device receiving data indicating a response of a listening environment to audio output of one or more playback devices as captured by a microphone and determining an input vector for a neural network. The playback device provides the determined input vector to the neural network, which includes an output layer comprising neurons that correspond to respective environmental conditions. The playback device detects that the input vector caused one or more neurons of the neural network to fire such that the neural network indicates that one or more particular environmental conditions are present in the listening environment. The playback device adjusts audio output of the one or more playback devices to at least partially offset the one or more particular environmental conditions.