Proceedings of 27th International Symposium on Frontiers of Research in Speech and Music

Proceedings of 27th International Symposium on Frontiers of Research in Speech and Music

FRSM 2023

Hirose, Keikichi; Sanyal, Shankha; Joshi, Deepak

Springer Verlag, Singapore

06/2024

448

Mole

9789819715480

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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.
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Speech Analysis;Music Signal Processing;Machine Learning;Sound Analysis;Cognitive Musicology;Music Engineering;Pattern Recognition in Music;FRSM 2023 Proceedings