Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Acoustical Analysis of the Tanpura : Indian Plucked String Instrument / / by Asoke Kumar Datta, Ranjan Sengupta, Kaushik Banerjee, Dipak Ghosh
| Acoustical Analysis of the Tanpura : Indian Plucked String Instrument / / by Asoke Kumar Datta, Ranjan Sengupta, Kaushik Banerjee, Dipak Ghosh |
| Autore | Datta Asoke Kumar |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (167 pages) |
| Disciplina | 787.67 |
| Collana | Signals and Communication Technology |
| Soggetto topico |
Signal processing
Image processing Speech processing systems Acoustics Mathematics Acoustical engineering Signal, Image and Speech Processing Mathematics in Music Engineering Acoustics |
| ISBN | 981-13-2610-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Making of Tanpura with all its components, tuning and playing -- Objective research done so far on Tanpura -- Physical and Mechanical properties of components of Tanpura -- Perceptual and Quantitative Evaluation of Tanpura from its sound -- Acoustic analysis of Tanpura signals -- Perception of Virtual Notes while Tanpura playing -- Jitter, Shimmer and Complexity Perturbation Analysis -- Evaluation of musical quality of Tanpura by Non linear analysis. |
| Record Nr. | UNINA-9910350312003321 |
Datta Asoke Kumar
|
||
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||
Signal Analysis of Hindustani Classical Music / / by Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis
| Signal Analysis of Hindustani Classical Music / / by Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis |
| Autore | Datta Asoke Kumar |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIII, 250 p. 152 illus., 74 illus. in color.) |
| Disciplina | 781.754 |
| Collana | Signals and Communication Technology |
| Soggetto topico |
Signal processing
Image processing Speech processing systems Acoustics Pattern perception Music Signal, Image and Speech Processing Pattern Recognition |
| ISBN | 981-10-3959-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910254328803321 |
|
Datta Asoke Kumar
|
||
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||