- Kevin Kilgour, A. Waibel. 2015. Multifeature modular deep neural network acoustic models. Abstract: This paper presents and examines multifeature modular deep neural network acoustic models. The proposed setup uses well trained bottleneck networks to extract features from multiple combinations of input features and combines them using a classification deep neural network (DNN). The effectiveness of each feature combination is evaluated empirically on multiple test sets for both a classical DNN as well as a for modular DNNs using only a single module. Modular DNNs using two or more modules are shown to reduce the WER by up to 11.5% relatively compared to a baseline DNN and give the best overall performance on both test sets.
