Abstract
Smartphones are widely available and used by many people. Portability, processing power and useful features of smartphone, such as audio input/output and wire/wireless connectivity, offer unique opportunity to use smartphone as an open source research platform capable of implementing in real time many computationally intensive adaptive signal processing algorithms aimed at improving hearing study and hearing aid applications. In this paper, we present an overview of several adaptive algorithms developed for classifying the background noise, suppressing the noise, and enhancing the speech in different noisy environments. The proposed algorithms for hearing aid applications can run on existing smartphones such as the Android-based and iOS-based smartphones in real time. Objective and subjective test results are presented illustrating the performance of proposed algorithms running on smartphones in real time.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
