Acoustic Structural Microphone Coordination for Speech Clarity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Communication devices struggle to improve speech quality in noisy environments, as acoustic microphones receive ambient noise, while structural microphones produce unnatural speech lacking environmental noise, and there is no existing solution to coordinate these microphones effectively.
Innovation Solution
A communication device that calculates signal-to-noise ratios for both acoustic and structural microphones, selectively using one or the other based on ambient noise levels, and optionally buffers ambient noise to enhance speech quality from structural microphones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If acoustic microphones are used to receive speech in noisy environments, then ambient environmental noise is captured along with speech, but speech clarity deteriorates when noise level exceeds speech level
Solution Approach 1:
The system segments the speech reception function by using two different microphone types (acoustic and structural) that operate through different physical principles. The acoustic microphone captures ambient sound while the structural microphone captures vibration-based speech signals, allowing the system to select the appropriate microphone based on environmental conditions to maintain speech clarity.
Solution Approach 2:
The system dynamically changes the operational parameter by switching between acoustic and structural microphones based on the signal-to-noise ratio. When the acoustic microphone's signal-to-noise ratio falls below a threshold, the system transitions to using the structural microphone, thereby adapting to varying environmental noise conditions.
2Object-affected harmful factors
If structural microphones are used to obtain speech through vibration coupling, then ambient environmental noise is reduced, but speech quality becomes unnatural and muffled
Solution Approach 1:
The system dynamically switches between acoustic and structural microphones based on real-time signal-to-noise ratio calculations. This dynamic adaptation ensures that the structural microphone is used only when environmental noise is low enough to maintain natural speech quality, while the acoustic microphone is used when ambient noise levels are acceptable.
Solution Approach 2:
The system continuously monitors the signal-to-noise ratio from both microphone types and uses this feedback to determine which microphone should be active. This feedback mechanism ensures that the structural microphone is only engaged when it can provide clear, natural-sounding speech without excessive ambient noise.
3Adaptability or versatility
If both acoustic and structural microphones are used simultaneously, then speech reception coverage is improved, but device complexity increases
Solution Approach 1:
The system segments the speech reception function across two different microphone types, each optimized for specific conditions. By dividing the reception task and selecting the appropriate microphone based on environmental conditions, the system achieves adaptability without requiring complex real-time processing of both microphone inputs simultaneously.
Solution Approach 2:
The processor acts as an intermediary that calculates signal-to-noise ratios and determines which microphone should be active. This intermediary decision-making process simplifies the overall system by selecting one microphone at a time rather than requiring complex coordination and mixing of both microphone inputs.
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
Improves speech quality by dynamically selecting the most effective microphone type and adjusting ambient noise levels, enhancing communication clarity in varying environments.
Implementation Method 1
acoustic microphones through which sound waves are converted into electrical signals
Implementation Method 2
a structural microphone receive a signal directly from vibration of physical matter such as bone, flesh, plastic, or any solid structure
Data Source
AI summary
A communication device is configured to receive signals using at least one acoustic microphone and at least one structural microphone. The communication device calculates one of first a signal-to-noise (SNR) ratio and a speech-to-noise ratio for the at least one acoustic microphone from received signals and calculates a SNR for the at least one structural microphone from received signals. The communication device compares one of the first SNR and the speech-to-noise ratio for the at least one acoustic microphone with the SNR for the at least one structural microphone. The communication device selects one of the at least one acoustic microphone and at least one structural microphone to receive speech responsive to the comparing and places a selected one of the at least one acoustic microphone and at least one structural microphone in a standby mode.