HOME > 상세정보

상세정보

Signal analysis of hindustani classical music [electronic resource]

Signal analysis of hindustani classical music [electronic resource]

자료유형
E-Book(소장)
개인저자
Datta, Asoke Kumar.
서명 / 저자사항
Signal analysis of hindustani classical music [electronic resource] / Asoke Kumar Datta ... [et al.].
발행사항
Singapore :   Springer,   c2017.  
형태사항
1 online resource (xiii, 250 p.) : ill.
총서사항
Signals and Communication Technology,1860-4862
ISBN
9789811039591 (electronic bk.) 9789811039584
요약
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 of 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.
일반주기
Title from e-Book title page.  
내용주기
Introduction -- Music Information Retrieval -- Scales and Shruti Concept -- Tonic Detection and Shruti Analysis from Raga Performance -- Pitch Transition and Stability -- Raga Identification -- Gharana identification -- Production, Perception and Cognition -- Musical Instruments -- Concluding Remarks.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Hindustani music --Data processing. Engineering. Signal, Image and Speech Processing. Acoustics. Pattern Recognition. Music.
바로가기
URL
000 00000cam u2200205 a 4500
001 000045987615
005 20190626173404
006 m d
007 cr
008 190624s2017 si a ob 000 0 eng d
020 ▼a 9789811039591 (electronic bk.)
020 ▼a 9789811039584
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a ML338
082 0 4 ▼a 780.954 ▼2 23
084 ▼a 780.954 ▼2 DDCK
090 ▼a 780.954
245 0 0 ▼a Signal analysis of hindustani classical music ▼h [electronic resource] / ▼c Asoke Kumar Datta ... [et al.].
260 ▼a Singapore : ▼b Springer, ▼c c2017.
300 ▼a 1 online resource (xiii, 250 p.) : ▼b ill.
490 1 ▼a Signals and Communication Technology, ▼x 1860-4862
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a Introduction -- Music Information Retrieval -- Scales and Shruti Concept -- Tonic Detection and Shruti Analysis from Raga Performance -- Pitch Transition and Stability -- Raga Identification -- Gharana identification -- Production, Perception and Cognition -- Musical Instruments -- Concluding Remarks.
520 ▼a 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 of 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Hindustani music ▼x Data processing.
650 0 ▼a Engineering.
650 0 ▼a Signal, Image and Speech Processing.
650 0 ▼a Acoustics.
650 0 ▼a Pattern Recognition.
650 0 ▼a Music.
700 1 ▼a Datta, Asoke Kumar.
830 0 ▼a Signals and Communication Technology .
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-981-10-3959-1
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 780.954 등록번호 E14013869 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

컨텐츠정보

목차

Intro -- Prologue -- Contents -- 1 Introduction -- 1.1 What Is Music? -- 1.2 Origin of Music -- 1.3 Indian Music -- 1.3.1 Notes (Swara) in Indian Music -- 1.3.2 Importance of the Tonic (Sa) -- 1.4 Basic Elements of Music -- 1.5 Uniqueness of Indian Classical Music -- 1.6 Different Forms of Indian Classical Music -- 1.7 Raga—The Soul of Indian Classical Music -- 1.8 Scientific Research in Indian Music -- References -- 2 Music Information Retrieval -- 2.1 Introduction -- 2.2 Feature Extraction -- 2.2.1 Process of Feature Extraction -- 2.2.2 Selection of Features -- 2.3 Conclusions and Discussion -- References -- 3 Scales and Shruti Concept -- 3.1 Views on Shruti -- 3.2 Ancient Period -- 3.3 Modern Period -- 3.3.1 Divisive Theory -- 3.3.2 Cyclic Theory -- 3.3.3 Vedic Theory -- 3.4 Musical Scale -- 3.4.1 Objective Modeling of Musical Scale -- 3.4.2 Relevant Psycho-Perceptual Concepts -- 3.4.3 Hypothesis -- 3.4.4 Construction of Shrutis from Hypothesis -- 3.4.5 Conclusion -- References -- 4 Tonic Detection and Shruti Analysis from Raga Performance -- 4.1 Introduction -- 4.2 Relevant Signal Processing -- 4.2.1 Pitch Period Extraction from Signal -- 4.2.2 Smoothing -- 4.2.3 Steady State Detection -- 4.3 Determination of Tonic (Sa) -- 4.3.1 Data Base -- 4.3.2 Experimental Details -- 4.3.3 Results and Discussions -- 4.4 Swara-Shruti Relation -- 4.5 Ratio-Intervals for Steady States -- 4.5.1 Data Base -- 4.5.2 Analysis -- 4.5.3 Results and Discussions -- 4.6 Shruti Positions in Contemporary Performances -- 4.6.1 Clustering Methodology -- 4.6.2 Algorithm (K-Means) -- 4.6.3 Results -- 4.7 Approach of Heuristic Search -- 4.7.1 Methodology -- 4.7.2 Results and Discussions -- 4.7.2.1 Shruti Positions -- 4.8 Conclusion -- References -- 5 Pitch Transition and Pitch Stability -- 5.1 Introduction -- 5.2 Extraction of Meends -- 5.3 Algorithmic Procedure -- 5.4 Results -- 5.4.1 Objective Categorisation of Meends -- 5.4.2 Results -- 5.4.3 More Details on Intonation -- 5.4.4 Results -- 5.4.5 Discussions -- 5.5 On Perceptibility of Transitory Movements -- 5.5.1 Experimental Procedure -- 5.6 Results and Discussions -- 5.7 Summary -- 5.8 Conclusion -- References -- 6 Raga Identification -- 6.1 Introduction -- 6.2 Swars or Notes (To Be Used in Ragas) -- 6.2.1 Raga Structure -- 6.2.2 Quantified Features of Raga -- 6.3 Identification -- 6.3.1 Process of Feature Extraction and Database Building -- 6.4 Recognition of Ragas -- 6.5 Experiments and Results -- 6.5.1 Experimental Parameters -- 6.5.2 Results -- 6.5.3 Identification Accuracy -- 6.5.4 Identification Versus Accuracy -- 6.6 Raga Similarity -- 6.6.1 Experimental Details -- 6.6.2 Results -- 6.7 Identification of Raga -- 6.7.1 Feature Extraction -- 6.7.2 Results and Discussion -- References -- 7 Gharana Identification -- 7.1 Introduction -- 7.1.1 What Is Gharana? -- 7.1.2 Gharana Identification -- 7.2 Audio Feature Set -- 7.2.1 Timbral Texture Features -- 7.2.2 Rhythmic Features -- 7.3 Projection Pursuit -- 7.4 Feature Database Preparation -- 7.5 Experimental Results and Discussions -- 7.6 Conclusion -- References -- 8 Production, Perception and Cognition -- 8.1 Introduction -- 8.2 Perception -- 8.3 Cognition -- 8.3.1 Significance of Cognition -- 8.3.2 Some Experiments in Aural Cognition -- 8.3.3 Emotion -- 8.4 Making Music -- References -- 9 Automatic Musical Instrument Recognition -- 9.1 Musical Instruments -- 9.1.1 Introduction -- 9.1.2 Indian Musical Instruments -- 9.1.3 Tanpura -- 9.1.4 Sarod -- 9.1.5 Flute -- 9.1.6 Harmonium -- 9.1.7 Tabla -- 9.2 Acoustical Analysis for the Sound of Indian Musical Instruments -- 9.2.1 Introduction -- 9.2.2 Timbre Parameters -- 9.2.2.1 Energy Features -- 9.2.2.2 Spectral Features -- 9.2.2.3 Harmonic Features -- 9.2.3 Perceptual Features -- 9.2.4 Spectral Analysis -- 9.2.5 Wavelet Analysis (Transform) -- 9.2.5.1 The Sub-band Coding and the Multiresolution Analysis -- 9.2.6 Shimmer and Jitter -- 9.2.7 Analysis of Acoustic Characteristics of Musical Instrument from Their Sound Signals -- 9.2.7.1 Tanpura -- 9.2.7.2 Sarod -- 9.2.7.3 Flute -- 9.2.7.4 Harmonium -- 9.2.7.5 Tabla -- Timbre Analysis of Tabla Strokes -- Spectral Envelope Analysis of Tabla Strokes -- 9.2.8 Summary -- 9.3 Identification of Indian Musical Instruments -- 9.3.1 Introduction -- 9.3.2 Sound Source Recognition by Human Brain -- 9.3.3 Constraints -- 9.3.4 Important Features for Musical Instrument Recognition Systems -- 9.3.5 Temporal Envelope Estimation -- 9.3.6 Timbre Analysis -- 9.3.7 A Practical Study -- 9.3.7.1 Feature Extraction from Spectral Envelope -- 9.3.7.2 Energy Change -- 9.3.7.3 Resonant Frequency -- 9.3.7.4 Timbre -- 9.3.7.5 Spectral Analysis -- 9.3.8 Summary -- 9.3.9 Applications -- References -- 10 Vadi-Samvadi Controversy and Statistics -- 10.1 Introduction -- 10.2 Methodology -- 10.2.1 Krumhansl’s Method -- 10.3 Experimental Results and Discussions -- 10.3.1 Chi-Square Test -- 10.3.2 Ranking of Notes -- 10.4 Chapter Conclusion -- References -- Epilogue -- .

관련분야 신착자료