Category Archives: The Omniclassical Project

Buoyed up by our victory with the instrument classifier, we next attempted to create a model which could classify the elusive and a raag classifier. The purpose of this project was to classify audio clips into four commonly-used raags: pahadi, darbari, yaman and bhairavi. We trained it exclusively on sitar recordings due to its beingContinue reading “The Raag Classifier”

We then tried to expand further with a genre-identifier, which would sort any music into six genres: qawwali, hiphop, blues, jazz, classical and rock, with another five being added later on. This classifier was trained on Mr. Faheem Sheikh’s QawwalRang database. We at first used the same method, i.e. training our model on MFCC features,Continue reading “The Genre Classifier”

You can find below a list of all our major machine learning projects so far alongside an glossary of a few helpful machine learning terms. It should be noted that this glossary is extremely basic – it is only meant to provide a functional understanding of some of the terms used in our articles. ForContinue reading “Our Machine Learning Projects and their Glossary”

Our very first machine learning project was extremely simple – a basic music identifier which was meant to familiarize us with machine learning in general. This identifier was initially meant to simply decide whether a piece of music contained a tabla or not, but we later on expanded it to include the violin and theContinue reading “The Piano, Tabla and Violin Identifier”