Hearing AID using Digital Signal Processing
Redefining Sound, Restoring Lives.
Created on 20th September 2025
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Hearing AID using Digital Signal Processing
Redefining Sound, Restoring Lives.
The problem Hearing AID using Digital Signal Processing solves
The Problem It Solves
Hearing in Noisy Environments – Many people with hearing impairments struggle to clearly understand speech in noisy areas like markets, traffic, or social gatherings.
Manual Adjustment Hassle – Conventional hearing aids require frequent manual adjustments for different environments.
Poor Sound Quality – Low-end hearing aids often amplify all sounds equally, making background noise overwhelming.
Lack of Personalization – Most devices do not adapt to the specific hearing profile of each user.
Healthcare Monitoring Gaps – No integrated way for healthcare providers to track population-level hearing strain or usage patterns in real time.
Our Smart DSP Hearing Aid solves these issues by:
Using adaptive noise suppression to make speech clearer in any environment.
Automatically adjusting to ambient noise without user intervention.
Providing personalized frequency shaping for each user’s hearing range.
Operating on low power for long-term wearable comfort.
Enabling optional AI-powered analytics for proactive healthcare monitoring.
Challenges I ran into
Real-Time Processing Lag – Initially, the adaptive filter caused noticeable audio delay, making speech sound unnatural.
Solution: Optimized the filter order and processing pipeline in Altair Embed to reduce latency.
Balancing Noise Suppression & Speech Clarity – Early versions removed background noise but also dulled speech frequencies.
Solution: Tuned the filter coefficients and applied frequency shaping to preserve voice quality.
Algorithm Instability in Sudden Noise Changes – Quick shifts (like a door slam) caused filter instability.
Solution: Added a dynamic gain control stage for fast recovery without distortion.
Simulation vs. Real Hardware Constraints – Simulations allowed complex algorithms, but wearable hardware has limited processing power.
Solution: Profiled code execution in Altair Embed’s hardware-in-the-loop mode and simplified computations for embedded deployment.
Learning Curve with OML in Altair Compose – Transitioning from MATLAB to OML required adapting syntax and debugging methods.
Solution: Used Altair documentation and small modular tests to validate each DSP block before full integration.
Tracks Applied (1)
$300(Open): Cash Prize
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