Voice-Activated Headset Encoding Using Frequency Domain Power Comparison
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Solution Overview
Problem
Traditional voice activity detection in noisy environments, such as worksites and helipads, struggles to accurately distinguish speech from noise, leading to reduced battery life and poor communication clarity in hearing protection headsets.
Innovation Solution
A voice-activated sound encoding technique using frequency domain representations of microphone signals from both a voice microphone and an ambient microphone, allowing for robust voice activity detection by comparing power parameters in selected frequency bands, thereby enabling efficient power management and improved communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional voice activity detection algorithms are used in noisy environments, then the system continuously encodes and transmits sound, but this leads to reduced battery life and poor communication clarity
Solution Approach 1:
The patent segments the audio spectrum into multiple frequency bands and processes each band separately to detect voice activity. This allows the system to identify speech in specific frequency ranges even when overall noise levels are high, enabling more accurate voice activity detection without continuous transmission and thus conserving battery life.
Solution Approach 2:
The patent applies different processing strategies to different frequency bands based on their local characteristics. By analyzing power parameters in specific frequency bands where speech is more likely to occur and comparing them against noise thresholds, the system achieves reliable voice detection in noisy environments without requiring continuous full-spectrum analysis, reducing energy consumption.
2Reliability
If traditional voice activity detection algorithms are used in noisy environments, then the system continuously encodes and transmits sound, but this leads to poor clarity in communications
Solution Approach 1:
The patent segments the audio signal into multiple frequency bands and independently analyzes each band for voice activity. This segmentation allows the system to identify speech components in specific frequency ranges while filtering out noise in other bands, improving the accuracy of voice activity detection and the clarity of transmitted communications.
Solution Approach 2:
The patent changes the parameter space by transforming the audio signal from the time domain to the frequency domain using Fast Fourier Transform (FFT). By analyzing power parameters in the frequency domain rather than raw amplitude in the time domain, the system can more effectively distinguish speech from noise and make more accurate voice activity detection decisions, improving communication clarity.
3Use of energy by moving object
If frequency domain representation and power parameter comparison are used for voice activity detection, then battery life is extended, but the system complexity increases
Solution Approach 1:
The patent replaces complex mechanical or hardware-based noise filtering systems with signal processing algorithms in the frequency domain. By using Fast Fourier Transform and power parameter comparisons, the system achieves effective voice activity detection and noise suppression through computational methods, which can be implemented efficiently in software or digital signal processors, managing complexity while extending battery life.
Data Source
AI summary
A voice-activated encoding method includes determining a voice power parameter based on a frequency domain representation of a voice signal from a voice microphone. The method includes determining an ambient power parameter based on a frequency domain representation of at least one ambient signal from at least one ambient microphone spaced from the voice microphone. The method also includes enabling encoding of an audio signal based on the voice signal in response to comparing the power parameters and a threshold value. A headset including a controller may use the method to determine whether to enable or disable encoding, transmission, or both of an audio signal to another device.