Spot on. Just a heads up, there is a decent amount of work on using convolutions to condense the initial representations and can reduce computation time equal to your max pooling. A lot of these tasks can be done via hyperparameter search over CNNs, so you can easily reach parity using a CNN-LSTM approach w/ the same number of parameters.