-Now that we have the data samples, we can move on to designing the Impulse. An Impulse is in a nutshell the pipeline that the model will use for training. Consisting of an input block, processing block and a learning block. The input block indicates the type of data being used in the model, which will be audio in this case. The processing block extracts meaningful features from your data. The Audio Syntiant processing block we are using in this tutorial extracts time and frequency features from the audio used in the model. The learning block uses a neural network classifier that will take the input data, the audio that was captured in the previous step, and then give us a probability that indicates how likely it is that the input data belongs to a particular class.
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