Music Information Retrieval

• Published in: Signal Analysis of Hindustani Classical Music pp. 17 - 33
• Main Authors: Solanki, Sandeep Singh, Datta, Asoke Kumar, Patranabis, Anirban, Chakraborty, Soubhik, Sengupta, Ranjan, Mahto, Kartik
• Format: Book Chapter
• Language: English
• Published: Singapore Springer Singapore Pte. Limited 2017; Springer Singapore
• Series: Signals and Communication Technology
• Subjects: Audio Feature; Audio Signal; Feature Extraction Technique; Imaging systems & technology; Pattern recognition; Short Time Fourier Transform; Sound, vibration & waves (acoustics); Spectral Entropy
• ISBN: 9811039585; 9789811039584
• ISSN: 1860-4862; 1860-4870
• DOI: 10.1007/978-981-10-3959-1_2

Music is a very interesting topic in our society as almost everyone enjoys listening to it and many wants to create. Broadly speaking, the research in Music Information Retrieval (MIR) is one of the upcoming research interest with the extraction and inference of meaningful features from music (from the audio signal), indexing of music using these features, and the development of deferent search and retrieval schemes (for instance, content-based search, music recommendation systems, or user interfaces for browsing large music collections), as defined by Downie (2003).