2016
Audio word similarity for clustering with zero resources based on iterative HMM classification
ICASSP 2016accepted
Recent work on zero resource word discovery makes intensive use of audio fragment clustering to find repeating speech patterns. In the absence of acoustic models, the clustering step traditionally relies on dynamic time warping (DTW) to compare two samples and thus suffers from the known limitations…