PPE Sound Processor Selective Audio Filtering
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Solution Overview
Problem
Existing personal protective equipment (PPE) devices with active hearing protection do not selectively reduce or filter out individual sound components, failing to provide an improved hearing experience by amplifying desired sounds while reducing unwanted noise in varying environments, such as a battlefield or construction site.
Innovation Solution
A PPE device equipped with a microphone, sound analyzer, and sound processor that identifies specific sounds within an ambient sound stream and applies models to modify these sounds, amplifying or reducing them as needed, using algorithms stored in a local model database, to provide a customized audio experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional PPE devices with active hearing protection are used, then hearing protection is provided, but individual sound components cannot be selectively reduced or filtered
Solution Approach 1:
The sound stream is divided into individual sound components through parsing and identification. The sound analyzer separates the ambient sound into distinct portions, each corresponding to a specific sound source (e.g., human speech, machinery noise, warning signals), allowing selective processing of each component independently.
Solution Approach 2:
Different processing models are applied to different sound components based on their identification. Each sound type receives customized treatment - human speech may be amplified, machinery noise reduced, and warning signals enhanced - creating locally optimized quality for each sound component while maintaining overall system functionality.
2Object-affected harmful factors
If all ambient sounds are transmitted to the user, then complete audio information is provided, but unwanted noise cannot be reduced
Solution Approach 1:
The harmful sound components are extracted and removed from the ambient sound stream. The sound analyzer identifies unwanted noise sources (e.g., machinery noise, background chatter) and applies reduction models to extract and eliminate these harmful components while preserving the desired sound information.
Solution Approach 2:
The system converts the harmful effect of unwanted noise into a benefit by using the same sound analysis capability to identify and enhance desirable sounds. The sound processing models not only reduce harmful noise but also amplify important sounds like human speech and warning signals, turning the noise problem into an opportunity for improved audio quality.
3Ease of operation
If desired sounds are amplified and unwanted sounds are reduced, then hearing experience is improved, but the device requires complex sound analysis and processing
Solution Approach 1:
Sound processing models are pre-configured and stored in the device for different sound types. The system performs preliminary classification of sound components and has ready-to-apply processing models for common sound scenarios, reducing the complexity of real-time decision-making and enabling faster, more efficient sound modification.
Solution Approach 2:
The sound analyzer automatically identifies sound components and selects appropriate processing models without user intervention. The system self-adjusts the audio processing based on the detected sound environment, applying the correct models to amplify or reduce specific sound components, thereby simplifying operation for the user.
Data Source
AI summary
A personal protective equipment device is presented that includes a speaker configured to provide a modified sound to a user. The device also includes a microphone configured to capture an ambient sound stream. The device also includes a sound analyzer that receives the ambient sound stream from the microphone and identifies a first sound in the ambient sound. The device also includes a sound processor that applies a model to the first sound, based on the sound identification, to obtain the modified sound, wherein the model changes a characteristic of the identified sound. The modified sound is provided to the speaker. The model comprises an algorithm stored locally in a model database within a memory of the personal protective equipment device.