MUSIC STREAMING APP WITH DEEP LEARNING TECHNIQUES
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Date
2024-04-19
Authors
Moldakhmetov, Nurbek
Tileubayev, Bibarys
Alikhanov, Adilkhan
Demeubay, Diar
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Engineering and Digital Sciences
Abstract
This study presents the development of a music classification and recommendation system for web applications, employing deep learning and visualization methodologies to address the demand for refined audio recommendation systems. Through research and experimentation, high accuracy in music genre classification was achieved. Building a CNN model and employing t-SNE visualization resulted in a clear clustering of audio files. Coordinated of individual songs were used in the recommendation system logic.
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Type of access: Restricted
Citation
Moldakhmetov, N., Alikhanov, A., Tileubayev, B., Demeubay, D. (2024). Music Streaming app with Deep Learning techniques. Nazarbayev University School of Engineering and Digital Sciences