| 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 |
Info
Proceedings of 27th International Symposium on Frontiers of Research in Speech and Music : FRSM 2023 / / edited by Keikichi Hirose, Deepak Joshi, Shankha Sanyal
