Conceptualization and significance study of a new appliation CS-MIR
Journal
IFIP Advances in Information and Communication Technology
Journal Volume
381 AICT
Journal Issue
PART 1
Pages
146 - 156
Date Issued
2012
Author(s)
Abstract
Numerous researches on Music Information Retrieval (MIR) have been estimated and linked with sparse representation method, few has paid enough attention on the application of compressive sensing and how it affects the reconstruction of MIR. This paper provides solid theoretical and various empirical evidence on the conceptualization, theoretical development, and implication of Compressive Sensing (CS), which to great extent, contributes to the application of the Music Information Retrieval. © 2012 IFIP International Federation for Information Processing.
Event(s)
8th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2012
Subjects
compressive sampling; music identification; music information retrieval
SDGs
Other Subjects
Compressive sampling; Compressive sensing; Empirical evidence; Music identification; Music information retrieval; Sparse representation; Theoretical development; Artificial intelligence; Signal reconstruction; Information retrieval
Type
conference paper