Abstract:
Genre, which is defined by rhythmic structure, harmonic content, and instrumentation, is one approach to classify music. Automatically classifying and tagging music in a user’s library by genre. Genres are conventional categories that forecast traditional or convention-based music. Classifying music by genre is a tough task in music information retrieval.
Our Music Genres Classification System detects audio file music. The machine will classify after detecting music. System will display music genre. This system classifies predefined music genres.
This system requires account registration before logging in. Users can log in with username and password. System detects and classifies music genres. The user will see the findings after the machine identifies the song. Just upload an audio file from your device. The front-end uses HTML, CSS, and JavaScript, and the back-end uses Python. Django and MySQL are used. We classified using the KNN method.
Additionally, we will train our model using the GTZAN genre classification dataset. Our algorithm can classify blues, classical, country, disco, hip-hop, jazz, metal, pop, reggae, and rock.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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