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› Forums › Automatic speech recognition › Dynamic Time Warping (DTW) › Weighting each dimension when measuring the local distance
When we measure the local distance between two paired frames, can we add some weights and use machine learning method to train those weights?
Yes, in effect, this is what we will do when we move from measuring distance in a vector space, to using generative models.
In fact, we can do a lot more than just weighting each dimension. We can perform feature engineering to transform the feature space, such that our problem (e.g., classification) becomes easier.
In foundation lecture 6, we will take a first look at these ideas. We will then continue this topic in main lecture 7 when we engineer features (MFCCs) that work well with our chosen generative model (a Gaussian probability density function).
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