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Titlebook: Signal Analysis of Hindustani Classical Music; Asoke Kumar Datta,Sandeep Singh Solanki,Anirban Pa Book 2017 Springer Science+Business Medi

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書目名稱Signal Analysis of Hindustani Classical Music
編輯Asoke Kumar Datta,Sandeep Singh Solanki,Anirban Pa
視頻videohttp://file.papertrans.cn/868/867047/867047.mp4
概述Reviews exhaustively the key recent research into musical signal processing in Hindustani music.Treats both theoretical and practical aspects of signal processing of Hindustani music.Includes case stu
叢書名稱Signals and Communication Technology
圖書封面Titlebook: Signal Analysis of Hindustani Classical Music;  Asoke Kumar Datta,Sandeep Singh Solanki,Anirban Pa Book 2017 Springer Science+Business Medi
描述This book presents a comprehensive overview of the basics of Hindustani music and the associated signal analysis and technological developments. It begins with an in-depth introduction to musical signal analysis and its current applications, and then moves on to a detailed discussion of the features involved in understanding the musical meaning of the signal in the context of Hindustani music. The components consist of tones, shruti, scales, pitch duration and stability, raga, gharana and musical instruments. The book covers the various technological developments in this field, supplemented with a number of case studies and their analysis. The book offers new music researchers essential insights into the use the automatic concept for finding and testing the musical features for their applications. Intended primarily for postgraduate and PhD students working in the area of scientific research on Hindustani music, as well as other genres where the concepts are applicable, it is also a valuable resource for professionals and researchers in musical signal processing..
出版日期Book 2017
關(guān)鍵詞Music Information Retrieval; Music Signal Processing; Music Cognition; Shruti Tone Interval; Raga Tonic
版次1
doihttps://doi.org/10.1007/978-981-10-3959-1
isbn_softcover978-981-13-5010-8
isbn_ebook978-981-10-3959-1Series ISSN 1860-4862 Series E-ISSN 1860-4870
issn_series 1860-4862
copyrightSpringer Science+Business Media Singapore 2017
The information of publication is updating

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Production, Perception and Cognition,sed in modern day music production. In the introductory chapter we attempted a comprehensive definition of music. Let us add further that music as an acoustical emotive (except for the emotion of anger, disgust) communication, generally universal in nature. The simultaneity of the three elements aco
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Automatic Musical Instrument Recognition, the automatic recognition of musical instruments with the idea that extract the perceptually relevant features from acoustic musical signals that a computer system “l(fā)isten” to musical sounds and recognize which instrument is playing. For this, timbre of the sound of those musical instruments needs
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Music Information Retrieval,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).
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