On the application of deep learning and multifractal techniques to classify emotions and instruments using Indian Classical Music-Reference-Cited by-同舟云学术

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On the application of deep learning and multifractal techniques to classify emotions and instruments using Indian Classical Music

Published:2022-07 Issue: Volume:597 Page:127261
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Nag Sayan,Basu Medha,Sanyal Shankha,Banerjee Archi,Ghosh Dipak

Publisher

Elsevier BV

Subject

Statistical and Nonlinear Physics,Statistics and Probability

Reference88 articles.

1. Music emotion recognition: From content-to context-based models;Barthet,2012

2. An automatic emotion recognition system for annotating spotify’s songs;de Quirós,2019

3. The pleasures of sad music: a systematic review;Sachs;Front. Hum. Neurosci.,2015

4. Reviewing the effectiveness of music interventions in treating depression;Leubner;Front. Psychol.,2017

5. Automatic music genre classification using timbral texture and rhythmic content features;Baniya,2015

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1. Machine-learning classification with additivity and diverse multifractal pathways in multiplicativity;Physical Review Research;2024-09-10

2. Music Genre Classification Based on VMD-IWOA-XGBOOST;Mathematics;2024-05-15

3. Music-evoked emotions classification using vision transformer in EEG signals;Frontiers in Psychology;2024-04-04

4. Deep Semantic Feature Extraction to Overcome Overlapping Frequencies for Instrument Recognition in Indonesian Traditional Music Orchestras;IEEE Access;2024

5. Multimodal Fusion-Based Hybrid CRNN Model for Emotion Prediction in Music;Lecture Notes in Networks and Systems;2024

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