Main Reference PaperFog Computing Approach for Music Cognition System Based on Machine Learning Algorithm, IEEE transactions on computational social systems, 2018 [Python]
  • By employing the machine learning techniques, the proposed approach significantly cognate music and write the score automatically under the fog computing environment. It exploits the hidden Markov model and the Gaussian mixture model to recognize the music.

Description
  • By employing the machine learning techniques, the proposed approach significantly cognate music and write the score automatically under the fog computing environment. It exploits the hidden Markov model and the Gaussian mixture model to recognize the music.

  • To automatically produce the music score.

  • To construct the new music database with respect to the features of music.

Aim & Objectives
  • To automatically produce the music score.

  • To construct the new music database with respect to the features of music.

  • To design the system under the multiple instrument recognition scenario will improve the performance of the system.

Contribution
  • To design the system under the multiple instrument recognition scenario will improve the performance of the system.

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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