Applications
DTW pattern-matching may be used for speech recognition applications
with a small vocabulary of stored "prototype" pronunciations. For example,
given the task of recognising which of ten digits (0-9) was spoken, a spoken
input can be compared to a library of ten recordings, and the
closest-matching
word identified. Other words than digits, in any language, could be used
instead, without altering the method.
Exercise. Think of as many pitfalls for this method as you can.
For example, will it work with a large vocabulary, or if it is used by
someone with a heavy foreign accent? What would happen if you coughed into
it?
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Vector
quantization