Results with multi-resolution spectrograms and Fully Connected feedforward DNNs trained with Keras and Theano with ReLU activation functions and ±4 feature splicing.

In all cases features are raw spectrograms in dB obtained with Hamming windows. Results are given as frame by frame phone state recognition accuracy considering 1936 different phone states. Input Dim. is the dimension of the input of the network including feature splicing. Param. is the number of trainable parameters of the network.