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Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach

Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal H. Abawajy, Siddhartha Bhattacharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin
2021 IEEE Access  
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

Ashwini Bhat, A. Vijaya Krishna, Sathwik Acharya
2020 SN Computer Science  
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

Nikita Jain, Vibhuti Bansal, Deepali Virmani, Vedika Gupta, Lorenzo Salas-Morera, Laura Garcia-Hernandez
2021 Applied Sciences  
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

Amit Rege, Ravi Sindal
2021 Indonesian Journal of Electrical Engineering and Computer Science  
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

Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski
2021 Sensors  
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)  
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

Joe Cheri Ross, Preeti Rao, Pushpak Bhattacharyya
2018 Zenodo  
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

Joe Cheri Ross, Preeti Rao, Pushpak Bhattacharyya
2018 Zenodo  
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

N. Hari Kumar, Ericsson Research Labs, Ericsson, India, P. S Ashwin, Haritha Ananthakrishnan
2020 International Journal of Machine Learning and Computing  
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]

Furkan Yesiler, Guillaume Doras, Rachel M. Bittner, Christopher J. Tralie, Joan Serrà
2021 arXiv   pre-print
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]

Charles P. Martin and Kai Olav Ellefsen and Jim Torresen
2018 arXiv   pre-print
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

Sankalp Gulati, Xavier Serra, Justin Salamon
2012 Zenodo  
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]

Bijue Jia, Jiancheng Lv, Dayiheng Liu
2019 arXiv   pre-print
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]

Tao Li, Lei Li
2011 Chapman & Hall/CRC Data Mining and Knowledge Discovery Series  
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

Mukunda Kalpana Iyengar
2015 Journal of Fine and Studio Art  
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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