Audio Environment Assessment and Adjustment
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Solution Overview
Problem
Audio devices face degradation in performance due to environmental issues such as noise, vibration, and poor placement, which existing audio processing technologies may not fully address, leading to suboptimal audio quality and requiring external technician assistance.
Innovation Solution
A computer-implemented method and system that assesses the acoustic performance of an environment by analyzing audio signals, providing users with tasks to adjust settings or device placement to improve audio quality without excessive processing or external support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio processing is used to conceal environmental problems and improve audio output, then audio quality is improved, but some degradation of the audio output occurs
Solution Approach 1:
The system performs preliminary assessment of the audio environment by analyzing audio signals to identify environmental problems before they significantly degrade audio quality. By detecting issues such as noise, vibration, and poor placement early, the system enables users to take corrective actions proactively, reducing the need for excessive audio processing and its associated degradation.
Solution Approach 2:
The system provides feedback to users about the acoustic performance of their environment through analyzed audio signals. This feedback loop allows users to understand the specific environmental issues affecting their audio setup and take appropriate corrective actions, thereby improving audio quality without relying on aggressive audio processing that causes degradation.
2Adaptability or versatility
If audio devices are designed to work well over a wide range of environments, then adaptability is improved, but some potential problems in environments may still cause impairments on audio input and output
Solution Approach 1:
The system performs preliminary assessment of the audio environment by analyzing audio signals to identify environmental problems before they significantly degrade audio quality. By detecting issues such as noise, vibration, and poor placement early, the system enables users to take corrective actions proactively, reducing the need for excessive audio processing and its associated degradation.
Solution Approach 2:
The system provides feedback to users about the acoustic performance of their environment through analyzed audio signals. This feedback loop allows users to understand the specific environmental issues affecting their audio setup and take appropriate corrective actions, thereby improving audio quality without relying on aggressive audio processing that causes degradation.
3Reliability
If external technician assistance is used to address environmental issues, then audio quality is improved, but device complexity and user dependency increase
Solution Approach 1:
The system enables users to self-diagnose and self-correct environmental audio issues by analyzing audio signals and providing actionable feedback. Users can identify problems such as noise, vibration, and poor placement and take appropriate corrective actions without requiring external technician assistance, thereby simplifying the system and reducing user dependency while maintaining improved audio quality.
Data Source
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AI summary
Example embodiments disclosed herein relate to assessment and adjustment for an audio environment. A computer-implemented method is provided. The method includes obtaining a first audio signal captured by a device located in an environment. The method also includes analyzing a characteristic of the first audio signal to determine an acoustic performance metric for the environment. The method further includes, in response to the acoustic performance metric being below a threshold, providing a first task for a user to perform based on the characteristic of the first audio signal. The first task is related to an adjustment to a setting of the environment. Embodiments in this regard further provide a corresponding computer program product. Corresponding system and computer program product are also disclosed.