Mobile Audio Noise Compensation With Speed and Frequency Tuning
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Solution Overview
Problem
Existing mobile communication devices and headsets struggle to effectively compensate for varying degrees of ambient noise during transit, particularly in vehicles, as they lack customizable noise adjustment options and fail to consider factors like vehicle type and helmet type, leading to suboptimal audio reception and transmission.
Innovation Solution
A system and method utilizing a processor, control circuit, memory, and detector to execute a noise compensation application, which adjusts amplification or filters ambient noise based on predefined settings associated with speed ranges or audio frequencies, allowing users to customize noise compensation according to their specific circumstances, such as vehicle model and helmet type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the device automatically adjusts volume based on detected ambient noise, then audio output is improved in noisy environments, but the user loses control over minimum and maximum volume levels and cannot customize adjustment behavior
Solution Approach 1:
The system dynamically adjusts volume based on detected ambient noise levels, but also allows users to dynamically configure minimum and maximum volume thresholds and customization parameters through a user interface, combining automatic adaptation with user control
Solution Approach 2:
The system uses feedback from the microphone to detect ambient noise levels and automatically adjusts volume accordingly, while also providing feedback mechanisms for users to configure their preferred adjustment behavior and receive confirmation of settings
2Object-affected harmful factors
If the device increases volume to compensate for ambient noise, then audio output is improved, but the microphone reception deteriorates due to same noise interference
Solution Approach 1:
The system applies different processing strategies to audio output versus audio input: volume amplification for speaker output to overcome ambient noise, and selective frequency filtering for microphone input to isolate voice frequencies from noise frequencies
Solution Approach 2:
The system introduces an intermediary processing stage that analyzes ambient noise characteristics and applies compensatory measures specifically tailored for each audio path - amplification for output and selective filtering for input
3Device complexity
If the device provides fixed volume adjustment based on speed, then implementation is simple, but it cannot adapt to different vehicle types and helmet types that affect noise levels
Solution Approach 1:
The system provides a universal configuration framework that can accommodate multiple vehicle types and helmet types through a single configurable interface, where users select their specific context and the system applies appropriate noise compensation parameters
Solution Approach 2:
The system changes operational parameters (volume thresholds, adjustment rates, minimum/maximum levels) based on user-selected vehicle and helmet types, allowing adaptation to different noise environments without requiring different hardware for each scenario
Data Source
AI summary
Compensating for varying degrees of ambient noise in a mobile device. One possible noise compensation application has a plurality of selectable settings associated with a range of speeds of motion. This noise compensation application, when executed by the processor, configures the control circuit to: receive an input from the detector, detect an amplitude of the input, compare the amplitude with a selected one of the settings, and selectively adjust an amplification device when the detected amplitude is within a prescribed range. Another possible noise compensation application has plurality of selectable settings each associated with a range of audio frequencies. This noise compensation application, when executed by the processor, configures the control circuit to: receive an input from the detector, detect a frequency of the input, compare the frequency with a selected one of the settings, and selectively filter the ambient noise when the detected frequency is within a prescribed range.