Filtro Adaptativo y Modulo de Grabacion en Dispositivo Para Mejora en la Calidad de Audicion
Carlos Elihu Palomino Torres, Francisco Claudio Chichipe Mondragon,, Frank Antonio Siesquen Rodriguez, Mariana Alexandra Huaynate Leon
TL;DR
This paper introduces a real-time auditory enhancement device using adaptive filtering and AI, which dynamically suppresses noise to improve speech clarity in various acoustic environments.
Contribution
It presents a novel real-time auditory enhancement system based on an ESP32, LMS adaptive filter, and AI techniques for improved hearing quality.
Findings
Effective noise suppression in real-time environments
Enhanced speech clarity across different acoustic settings
Adaptive system maintains performance dynamically
Abstract
This project presents the development of a real-time auditory enhancement system utilizing an ESP32, an LMS adaptive filter, and artificial intelligence techniques. An I2S INMP44 microphone captures the sound, which is dynamically processed to suppress noise before being played through a MAX98357 speaker. The system continuously adapts to varying acoustic environments, ensuring improved speech clarity and an optimized listening experience
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Taxonomy
TopicsAdvanced Adaptive Filtering Techniques · Speech and Audio Processing · Noise Effects and Management