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Musicality of Human Brain through Fractal Analytics / / by Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
Musicality of Human Brain through Fractal Analytics / / by Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
Autore Ghosh Dipak
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVII, 232 p. 119 illus., 111 illus. in color.)
Disciplina 621.382
Collana Signals and Communication Technology
Soggetto topico Signal processing
User interfaces (Computer systems)
Human-computer interaction
Neurosciences
Neuropsychology
Signal, Speech and Image Processing
User Interfaces and Human Computer Interaction
Neuroscience
ISBN 981-10-6511-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Methodology -- Emotions from Hindustani Classical Music: An EEG based study with evidence of neural hysteresis -- Musical perception and visual imagery: Do musicians visualize while performing? -- Tanpura drone and brain dynamics: How a simple acoustic signal affects brain rhythms -- In search of universality of music: effect of cross cultural instrumental clips -- Gestalt phenomenon in music: which frequencies do we hear? -- Quantification of musical emotion with neural jitter-shimmer: novel study with hindustani music -- An approach to encapsulate improvisation in hindustani classical music -- Ambiguity in hindustani classical music: development of an automated algorithm to asses ambiguity -- Computing the pitch of an EEG signal: a new paradigm in analysis of bio-signals -- Epilogue.
Record Nr. UNINA-9910299588003321
Ghosh Dipak  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Proceedings of 27th International Symposium on Frontiers of Research in Speech and Music : FRSM 2023 / / edited by Keikichi Hirose, Deepak Joshi, Shankha Sanyal
Proceedings of 27th International Symposium on Frontiers of Research in Speech and Music : FRSM 2023 / / edited by Keikichi Hirose, Deepak Joshi, Shankha Sanyal
Autore Hirose Keikichi
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (456 pages)
Disciplina 302.2242
Altri autori (Persone) JoshiDeepak
SanyalShankha
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Signal processing
Image processing - Digital techniques
Computer vision
Music - Mathematics
Music - Philosophy and aesthetics
Computational Intelligence
Signal, Speech and Image Processing
Computer Imaging, Vision, Pattern Recognition and Graphics
Mathematics in Music
Philosophy of Music
ISBN 9789819715497
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Framework for Detecting Toxic speech using BERT and Deep Learning -- Speech Emotion Classification Using Deep Learning -- ML Based Application for Enhanced Communication With Specially Abled Children -- Acoustic Phonetic Analysis of Vowels of Native Bengali Speakers with Parkinson’s Disease -- Recent Advancement in Accent Conversion using Deep Learning Techniques: A comprehensive review -- Speech Enhancement: Traditional and Deep Learning Techniques -- Continuing CompMusic: New approaches in the computational analysis of Carnatic Music -- An Ethnomusicological study of Darpawngi’s Mizo folksongs: A Cantometric Experiment -- An approach of similarity measure in Hindustani music -- Ornamentation in Hindustani vocal music -- A comparative Study of the non-nasal and nasal voice in Hindustani vocal music -- Regression Approach for Shruthi Identification from Indian Classical Instrumental Polyphonic Audio -- Music-Evoked Emotion Classification from EEG: An Image Based CNN Approach -- Perception of Devotion and Happiness in Indian Spiritual Music: An Acoustical and Audience Response Exploration -- Identifying Correlations Between Hindustani Music And The Brain: A Nonlinear EEG based exploration -- Representation and Analysis of Dynamics for Automatic Music Assessment in Hindustani Vocal Music -- Emotion and Instrument audio classification of Indian Classical Music recordings using transformers -- Styles and Rhythms of musical transitions in Indian Ragas: An Acoustical Exploration -- A statistical approach to the acoustical analysis of harmonics and timbre of tabla strokes.
Record Nr. UNINA-9910866586503321
Hirose Keikichi  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Proceedings of the 28th International Symposium on Frontiers of Research in Speech and Music, FRSM-2024 / / edited by Bruce Balentine, Sandesh Gupta, Shankha Sanyal, Archi Banerjee
Proceedings of the 28th International Symposium on Frontiers of Research in Speech and Music, FRSM-2024 / / edited by Bruce Balentine, Sandesh Gupta, Shankha Sanyal, Archi Banerjee
Autore Balentine Bruce
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (431 pages)
Disciplina 780
Altri autori (Persone) GuptaSandesh
SanyalShankha
BanerjeeArchi
Collana Current Research in Systematic Musicology
Soggetto topico Music
Acoustical engineering
Music - Mathematics
Engineering Acoustics
Mathematics in Music
ISBN 3-032-03729-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9911031639703321
Balentine Bruce  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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