# Deep Learning Based Noise Reduction & Speech Enhancement System

- URL: https://archi-zhang.blog/portfolio/deep-learning-based-noise-reduction-speech-enhancement-system
- Type: Publication
- Year: 2021



Millions of people with hearing loss rely on hearing aids to communicate and navigate daily life. Yet, conventional hearing aids amplify **all** sounds—including unwanted background noise—making conversations in noisy environments difficult and exhausting. This challenge underscores a critical need for hearing technology that goes beyond mere amplification to deliver **clear, adaptive, and context-aware sound enhancement**.

This project addresses that gap by implementing two **deep learning models**: one for **environmental noise classification** and another for **speech preservation and noise suppression**. By recognizing different noise types and dynamically adapting its processing, the system intelligently reduces background interference while maintaining speech clarity. Unlike traditional hearing aids, this adaptive approach empowers users with a **smart listening experience** that adjusts to real-world conditions, enhancing both comfort and communication quality.

[GitHub](https://github.com/ghnmqdtg/Deep-Learning-Based-Noise-Reduction-and-Speech-Enhancement-System) • [Poster](https://drive.google.com/file/d/160dGISiwNsv2-Fi7y9df14Jv_w2n6TIv/view)