all AI news
Using Machine Learning to Augment Dynamic Time Warping Based Signal Classification. (arXiv:2206.07200v1 [cs.LG])
Web: http://arxiv.org/abs/2206.07200
cs.LG updates on arXiv.org arxiv.org
Modern applications such as voice recognition rely on the ability to compare
signals to pre-recorded ones to classify them. However, this comparison
typically needs to ignore differences due to signal noise, temporal offset,
signal magnitude, and other external factors. The Dynamic Time Warping (DTW)
algorithm quantifies this similarity by finding corresponding regions between
the signals and non-linearly warping one signal by stretching and shrinking it.
Unfortunately, searching through all "warps" of a signal to find the best
corresponding regions is …
arxiv classification learning lg machine machine learning signal time