/Deep-learning---Automatic-Music-Transcription

This repository contains the implementation part done for the semester project - Automatic Music Transcription, offered by Electronics Club IIT Kanpur.

Primary LanguageJupyter NotebookMIT LicenseMIT

Deep-learning-Automatic-Music-Transcription

This repository contains the research done and the codes written for the semester project - Automatic Music Transcription, offered by Electronics Club IIT Kanpur.

  1. We have explored various models, for example, CNN, RNN and models with the combination of two, with a sole motive of achieveing maximum accuracy.
  2. For preprocessing of the music files, we have tried various ways, for example, constant Q- transform, Short- time fourier transform, and mel-frequency spectrum, and have compared the results with respect to the model used.
  3. Each folder in this repository represents a different model trained for automatic music transcription.
  4. We will keep on updating the repository until we arrive at the end dates of the projects.

Till then, stay tuned.