Title :
Finding structure in audio for music information retrieval
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
fDate :
5/1/2006 12:00:00 AM
Abstract :
This paper presents a brief overview of recent approaches to two problems in music information retrieval: query by example and automated source separation. It describes the challenges inherent in musical query by example and the systems that take very different approaches to the problem. The paper also explores approaches to source separation in a musical context, focusing on systems that take distinct approaches to the problem. Finally, it comments about the future directions for digital signal processing (DSP) research in the context of music information retrieval.
Keywords :
audio signal processing; information retrieval; source separation; automated source separation; digital signal processing research; music information retrieval; musical context; musical query; Audio recording; Content based retrieval; Digital signal processing; Instruments; Multiple signal classification; Music information retrieval; Portable media players; Rhythm; Signal mapping; Source separation;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2006.1628889