We propose a query by humming system for music retrieval that uses deep neural networks for note transcription and a note-based retrieval system for retrieving the correct song from the database.
the humming query input is generally divided into several segments and linear scaling is used on each of the segment to get the optimal distance between the query   The candidate songs are then ranked by their smallest distance with the query, with the song with the lowest distance ranked first.