  Query by Humming (QBH) is a system to provide a user with the song(s) which
the user hums to the system. Current QBH method requires the extraction of
onset and pitch information in order to track similarity with various versions
of different songs. However, we here focus on detecting precise onsets only and
use them to build a QBH system which is better than existing methods in terms
of speed and memory and empirically in terms of accuracy. We also provide
statistical analogy for onset detection functions and provide a measure of
error in our algorithm.
