Identifying the dialog acts is important for spoken dialogue systems, since they reveal the intention of the speaker.
different ap-proaches have been tested, an improved MLP-based system similar to the baseline one including MLP retraining and low-energy frame dropping, but also other methods based on segment-level features in combination with neural network modeling and i-vector based classifiers.