Đang chuẩn bị liên kết để tải về tài liệu:
Báo cáo hóa học: " Research Article Query-by-Example Music Information Retrieval by Score-Informed Source Separation and Remixing Technologies"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Query-by-Example Music Information Retrieval by Score-Informed Source Separation and Remixing Technologies | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 172961 14 pages doi 10.1155 2010 172961 Research Article Query-by-Example Music Information Retrieval by Score-Informed Source Separation and Remixing Technologies Katsutoshi Itoyama 1 Masataka Goto 2 Kazunori Komatani 1 Tetsuya Ogata 1 and Hiroshi G. Okuno1 1 Department of Intelligence Science and Technology Graduate School of Informatics Kyoto University Sakyo-Ku Kyoto 606-8501 Japan 2 Media Interaction Group Information Technology Research Institute ITRI National Institute of Advanced Industrial Science and Technology AIST Tsukuba Ibaraki 305-8568 Japan Correspondence should be addressed to Katsutoshi Itoyama itoyama@kuis.kyoto-u.ac.jp Received 1 March 2010 Revised 10 September 2010 Accepted 31 December 2010 Academic Editor Augusto Sarti Copyright 2010 Katsutoshi Itoyama et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. We describe a novel query-by-example QBE approach in music information retrieval that allows a user to customize query examples by directly modifying the volume of different instrument parts. The underlying hypothesis of this approach is that the musical mood of retrieved results changes in relation to the volume balance of different instruments. On the basis of this hypothesis we aim to clarify the relationship between the change in the volume balance of a query and the genre of the retrieved pieces called genre classification shift. Such an understanding would allow us to instruct users in how to generate alternative queries without finding other appropriate pieces. Our QBE system first separates all instrument parts from the audio signal of a piece with the help of its musical score and then it allows users remix these parts to change the acoustic features that represent the .