Word Recognition for Color Classification Using Convolutional Neural Network

Word recognition using deep learning is a simple approach to speech recognition in general. This work using color classes for the data set, to distinguish several colors using word spoken by human speakers. This research conducted by using convolutional neural network for deep learning classifier and MFCC as the feature extraction method from the audio data. This research yields good results, approximately about 98% for training accuracy and testing accuracy.