2016
Smartphone-based real-time classification of noise signals using subband features and random forest classifier
ICASSP 2016accepted
This paper presents the real-time implementation and field testing of an app running on smartphones for classifying noise signals involving subband features and a random forest classifier. This app is compared to a previously developed app utilizing mel-frequency cepstral coefficients features and a…