Design of a Query-by-Humming System for Hindi Songs Using DDTW Based Approach

Abstract

A query-by-humming (QBH) system deals with retrieving the original song or music from the knowledge of its humming tune. In this paper, we present a novel Derivative Dynamic Time Warping (DDTW) based method for querying desired songs in Hindi (an Indian language) from a database by humming the tune. The system presented here use both intuitive as well as performance-specific criterion to process the query humming. In this paper, pitch contour extracted from the humming signal is used as source feature for all the experiments. The approach presented here can be exploited for improving performance of QBH system to index the music for fast retrieval. The results obtained using proposed DDTW approach are compared with standard Dynamic Time Warping (DTW) approach and are found to be better for smaller window size.