Vehicle Speech Filtering for Masked Occupants
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Solution Overview
Problem
Voice recognition systems in vehicles struggle to accurately interpret voice commands from occupants wearing masks, as masks muffle sound frequencies, leading to unclear speech data that can hinder reliable command recognition and communication.
Innovation Solution
A computer system that identifies the type of mask worn by an occupant using sensor data, selects a corresponding sound filter to amplify muffled frequencies, and applies it to the sound data for improved clarity, enabling reliable voice command recognition and communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a mask is worn by an occupant, then protection against pathogens is improved, but speech clarity deteriorates due to muffled sound frequencies
Solution Approach 1:
The system converts the harmful effect of mask-induced sound muffling into a beneficial outcome by automatically detecting mask presence through sensor data and applying compensatory sound filters that amplify the specific frequency ranges attenuated by masks, thereby restoring speech clarity while maintaining mask wear benefits
Solution Approach 2:
The system changes the acoustic parameters of the received sound data by applying frequency-specific gain adjustments through sound filters, which compensate for the frequency attenuation caused by mask wearing and restore the original speech signal characteristics
2Device complexity
If voice recognition is attempted without sound filtering, then system simplicity is maintained, but command recognition accuracy deteriorates when occupants wear masks
Solution Approach 1:
The system performs self-adjustment by automatically detecting mask presence through sensor data analysis and autonomously selecting and applying the appropriate sound filter without requiring manual user input or complex configuration, thereby maintaining ease of operation while improving recognition accuracy
Solution Approach 2:
The system uses sensor data as feedback to detect mask presence and dynamically adjusts the sound processing by selecting appropriate filters, creating a closed-loop system that adapts to changing conditions and maintains high recognition accuracy
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
The system effectively boosts the clarity of speech from masked occupants, ensuring accurate voice command recognition and clear communication within the vehicle or during telephone calls, enhancing the reliability of voice-activated features and telecom messages.
Implementation Method 1
select a sound filter according to the type of mask from a plurality of sound filters... apply the selected sound filter to the sound data
Data Source
AI summary
A computer includes a processor and a memory storing instructions executable by the processor to receive sensor data of an occupant of a vehicle, identify a type of mask worn by the occupant based on the sensor data, select a sound filter according to the type of mask from a plurality of sound filters stored in the memory, receive sound data, apply the selected sound filter to the sound data, and perform an operation using the filtered sound data.