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  Published Paper Details:

  Paper Title

CONVERSION OF MUSIC INTO CHORDS USING MACHINE LEARNING

  Authors

  Santosh Chobe,  Neeraj Saini,  Prasanna Jagtap,  Ashutosh Kakde,  Yuvraj Kokare

  Keywords

Chord, Conversion, Machine Learning, Music.

  Abstract


Music chord recognition is an essential task in music analysis and understanding, and machine learning has been shown to be an effective approach for accomplishing this task. The survey reviews different approaches to chord recognition, including supervised and unsupervised learning, deep learning, and feature-based methods. It explores the strengths and weaknesses of each approach and compares their performances in various datasets. Additionally, the survey discusses the challenges and future directions for research in this area, including improving accuracy and robustness of the models, developing new evaluation metrics, and exploring new applications of chord recognition in music processing and analysis. Overall, the survey provides a comprehensive overview of the state-of-the-art in chord recognition using machine learning, offering a valuable resource for researchers and practitioners working in this field.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2403102

  Paper ID - 252435

  Page Number(s) - a807-a811

  Pubished in - Volume 12 | Issue 3 | March 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Santosh Chobe,  Neeraj Saini,  Prasanna Jagtap,  Ashutosh Kakde,  Yuvraj Kokare,   "CONVERSION OF MUSIC INTO CHORDS USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.a807-a811, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403102.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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