Proceedings ArticleDOI
A framework for emotion identification in music: Deep learning approach
Priyanka S. Lokhande,Bhavana Tiple +1 more
- pp 262-266
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TLDR
This paper is proposing a system which will help to recognize an emotion for Indian Classical Music, which is an ancient tradition and also has very effective mathematical structure.Abstract:
Medium of music has evolved specifically for the expression of emotions, and it is natural for us to organize music in terms of its emotional associations. Much of the difficulty in developing emotion-based features is the ambiguity of the ground-truth. Emotion recognition is an advanced trend in research field. Indian Classical music is an ancient tradition and also has very effective mathematical structure. In the field of emotion recognition, most of the work has been done on western music but very less on Indian Classical Music. In this paper, we are proposing a system which will help to recognize an emotion for Indian Classical Music.read more
Citations
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Journal ArticleDOI
Multi-label emotion recognition from Indian classical music using gradient descent SNN model
TL;DR: A novel Music Emotion Recognition (MER) system is developed by inter-linking the pre-processing, feature extraction and classification steps and achieves a good accuracy measure and outperforms well than other algorithms.
Journal ArticleDOI
Multi-label emotion recognition from Indian classical music using gradient descent SNN model
Proceedings ArticleDOI
Deep music on air
TL;DR: Deep Music on Air is a performance that aims to provide an N-dimensional visualization of music, through the motion, rotation and lighting of a swarm of drones, and employs Deep Neural Networks trained to listen to a music piece, and connects abstract generated knowledge to the immersive light performance on air provided by the Swarm of drones.
Journal ArticleDOI
Bi-Sampling Approach to Classify Music Mood leveraging Raga-Rasa Association in Indian Classical Music
C. MohanRaoB,Vinayak Arkachaari,Nithin K Harsham,N. SushmithaM,K. GayathriRameshK,S. UllasM,Pathi Mohan Rao,G. Sudha,Narayana Darapaneni +8 more
TL;DR: This paper explores a novel framework to leverage the ragarasa association in Indian classical Music to build an intelligent classifier and its application in music recommendation system based on user’s current mood and the mood they aspire to be.
Proceedings ArticleDOI
Adaptive Multi-Variate Deep Learning Model for Music Hit Prediction: A Systematic Review
TL;DR: In this paper , an adaptive multi-variate deep learning model (AMVDLM) was proposed to categorize the TAMIL language music according to the mood of listeners and promote the hit song to the listener to benefit the creators.
References
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Proceedings Article
Unsupervised feature learning for audio classification using convolutional deep belief networks
TL;DR: In this paper, the authors apply convolutional deep belief networks to audio data and empirically evaluate them on various audio classification tasks and show that the learned features correspond to phones/phonemes.
Journal ArticleDOI
Expression, Perception, and Induction of Musical Emotions: A Review and a Questionnaire Study of Everyday Listening
Patrik N. Juslin,Petri Laukka +1 more
TL;DR: An up-to-date overview of theory and research concerning expression, perception, and induction of emotion in music can be found in this paper, where a critique of this research is provided.
Proceedings ArticleDOI
Emotions from Text: Machine Learning for Text-based Emotion Prediction
TL;DR: This paper explores the text-based emotion prediction problem empirically, using supervised machine learning with the SNoW learning architecture to classify the emotional affinity of sentences in the narrative domain of children's fairy tales, for subsequent usage in appropriate expressive rendering of text-to-speech synthesis.
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