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Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach
2021
IEEE Access
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His research interests include machine learning, deep learning, computer vision, time series forecasting, signal processing, and natural language processing. ...
This type of classification can open many insights of Indian music industry. Raga motifs are the foundation of melody in Indian classical music. ...
doi:10.1109/access.2021.3093911
fatcat:j2c3ouegb5axnf2n2w4pny4cjq
Analytical Comparison of Classification Models for Raga Identification in Carnatic Classical Instrumental Polyphonic Audio
2020
SN Computer Science
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Broadly, one would be well aware of the classification between Indian classical music and western music. ...
In music Information Retrieval (MIR), raga classification has a tremendous role in understanding the fundamentals of Indian classical music and in a multitude of other tasks like database organisation ...
One of the recent paper [1] uses the LSTM-RNN approach to classify Indian classical music. ...
doi:10.1007/s42979-020-00355-0
fatcat:434l75pf25awbhynvygzut2ygu
An Enhanced Deep Convolutional Neural Network for Classifying Indian Classical Dance Forms
2021
Applied Sciences
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Indian classical dance (ICD) classification is an interesting subject because of its complex body posture. It provides a stage to experiment with various computer vision and deep learning concepts. ...
With a change in learning styles, automated teaching solutions have become inevitable in every field, from traditional to online platforms. ...
Conflicts of Interest: The authors have no conflicts of interest. ...
doi:10.3390/app11146253
fatcat:e5ujjl5jjfbkzkj7hpzl4hev3i
Audio classification for music information retrieval of Hindustani vocal music
2021
Indonesian Journal of Electrical Engineering and Computer Science
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An important task in music information retrieval of Indian art music is the recognition of the larger musicological frameworks, called ragas, on which the performances are based. ...
In this work we propose a convolutional neural network-based model to work on the mel-spectrograms for classication of steady note regions and note transition regions in vocal melodies which can be used ...
For example, an elegant way of
classification of melodic motifs in raga music using time-series matching is given in [7]. ...
doi:10.11591/ijeecs.v24.i3.pp1481-1490
fatcat:6cxlf4javnbkhgb46chiuthkt4
Time Signature Detection: A Survey
2021
Sensors
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However, the success of this research area could be an added advantage in a broader area of music genre classification using deep learning techniques. ...
The results of the research have been divided into two categories: classical and deep learning techniques, and are summarized in order to make suggestions for future study. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21196494
pmid:34640814
fatcat:xqjup7ox4nawphrfrcng23ugr4
Table of Contents
2018
2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)
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Human Identification using Convolutional Neural Network in Smart Health Applications 304 Isolated Spoken Marathi Words Recognition using HMM 305 Detection of pitch frequency of Indian classical music ...
customized for Indian community in conjunction with Indian requirements
110
LeMeNo-Personalized News Using Machine Learning
111
Intelligent classification of clinically actionable Genetic Mutations ...
doi:10.1109/iccubea.2018.8697655
fatcat:jvjgmcrh3fhxtkf4kyydawnkiq
Bridging Chasms In Hindustani Music Retrieval
2018
Zenodo
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The task of raga similarity detection is investigated with both text and music content (available as music notation). Melodic motifs form essential building blocks in Indian Classical music. ...
Considering the specific characteristics of each music culture and the diverse requirements thereof, the methods must be culture-aware with many of the associated tasks being culture-specific. ...
framework of Indian classical music can be more complete. ...
doi:10.5281/zenodo.1237568
fatcat:mrshrvhbcbb2lf4n7gys6e6plq
Bridging Chasms In Hindustani Music Retrieval
2018
Zenodo
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The task of raga similarity detection is investigated with both text and music content (available as music notation). Melodic motifs form essential building blocks in Indian Classical music. ...
Considering the specific characteristics of each music culture and the diverse requirements thereof, the methods must be culture-aware with many of the associated tasks being culture-specific. ...
framework of Indian classical music can be more complete. ...
doi:10.5281/zenodo.1239418
fatcat:uix3v2agqrajtcdrn5wm74tnq4
MellisAI - An AI Generated Music Composer Using RNN-LSTMs
2020
International Journal of Machine Learning and Computing
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The art of composing music can be automated with deep learning along with the knowledge of a few implicit heuristics. ...
It implements the task of automated musical composition using a pipeline where various key features of the resultant tune are constructed separately step by step and finally combined into a complete piece ...
Vedavalli gave us an insight about how to further elaborate our data set with different kinds of songs and ragas and encouraged us to take the implementation further, while Mr. ...
doi:10.18178/ijmlc.2020.10.2.927
fatcat:k6fu27qdcnd7vdodagzb7srn2a
Audio-based Musical Version Identification: Elements and Challenges
[article]
2021
arXiv
pre-print
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Recent years, however, have witnessed the rise of deep learning-based approaches that take a step toward bridging the accuracy-scalability gap, yielding systems that can realistically be deployed in industrial ...
In this article, we aim to provide a review of the key ideas and approaches proposed in 20 years of scientific literature around musical version identification (VI) research and connect them to current ...
In a similar vein, Zalkow and Müller [31] proposed learning an embedding of short audio shingles and demonstrated the efficiency of this approach for Western classical music. ...
arXiv:2109.02472v1
fatcat:tbbd66yq2vcz3ahc4z5ymethgi
Deep Predictive Models in Interactive Music
[article]
2018
arXiv
pre-print
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We discuss how recent advances in deep learning highlight the role of prediction in DMIs, by allowing data-driven predictive models with a long memory of past states. ...
In this paper, we investigate how a number of digital musical instruments (DMIs), including two of our own, have applied predictive machine learning models that assist users by predicting unknown states ...
As with GloveTalk II, this can often be accomplished effectively with classical ML models such as shallow ANNs or k-nearest neighbour classification [1] . ...
arXiv:1801.10492v3
fatcat:5fnmqmnam5h2xhxyqppbxgcdci
A Tonic Identification Approach for Indian Art Music
2012
Zenodo
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Following a classification based approach the system automatically learns the best set of rules to select the peak of the histogram that represents the tonic. ...
We propose two approaches for tonic identification in Indian art music, which take advantage of the characteristic feature of this music tradition by performing a multi-pitch analysis. ...
Using the pitch histograms and a classification based approach, we were able to learn optimal set of rules for the identification of the tonic. ...
doi:10.5281/zenodo.3754121
fatcat:nwkwwip75nafzoepi2xispsiza
Deep Learning-Based Automatic Downbeat Tracking: A Brief Review
[article]
2019
arXiv
pre-print
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Recently, deep learning has surpassed traditional machine learning methods and has become the primary algorithm in feature learning; the combination of traditional and deep learning methods also has made ...
In this paper, we begin with a background introduction of downbeat tracking problem. ...
Hidden Markov Model Hidden Markov Model (HMM) is a probability model with respect to time series. ...
arXiv:1906.03870v1
fatcat:torfkkzd6jfr3pxa5oku4k3e6i
Music Data Mining
[chapter]
2011
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
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For example, western classical music has passionate followers in China, and many persons in Europe are keen on classical Indian music: all of them can enjoy music without the need of a translation, which ...
Some attempts have been made to extend the approach to other cultures, for instance in [Norowi et al., 2005] , genre classification has been carried for traditional Indian musical forms together with ...
The above issues are regarded as major challenges for the further evolution of music data mining technology. [Adli et al., 2010] Adli, A., Nakao, Z., and Nagata, Y. (2010) . ...
doi:10.1201/b11041-3
fatcat:y2etjljj6jdzrkq7dzikyk5kwq
Bharatanatyam and Mathematics: Teaching Geometry Through Dance
English
2015
Journal of Fine and Studio Art
English
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Bharatanatyam is a highly codified and schematized Asian Indian style of classical dance that accommodates the different kinds of learners. ...
Many Asian Indian students learn Bharatanatyam for cultural maintenance and preservation. ...
Howard Smith (University of Texas at San Antonio) for their constructive criticism. ...
doi:10.5897/jfsa2015.0031
fatcat:sxrh4zk6v5hpfjpzmbrd2egc4q
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