A Hybrid CNN and RNN Variant Model for Music Classification

Article Computer Science, Cybernetics

PMG-Net: Persian music genre classification using deep neural networks

Nacer Farajzadeh et al.

Summary: Music genres are important tools for organizing music and targeting different markets. This research introduces a new deep neural network-based method for automatically classifying Persian music genres, which shows acceptable accuracy in the dataset test.

ENTERTAINMENT COMPUTING (2022)

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Proceedings Paper Computer Science, Artificial Intelligence

A Study on Broadcast Networks for Music Genre Classification

Ahmed Heakl et al.

Summary: Due to the increased demand for music streaming/recommender services and the recent developments of music information retrieval frameworks, Music Genre Classification (MGC) has attracted attention. This paper studies broadcast-based neural networks and proposes improvements under a small set of parameters. The computational experiments show the state-of-the-art performance in MGC.

2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (2022)

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Proceedings Paper Computer Science, Interdisciplinary Applications

Emotion Recognition Based on Musical Instrument using Deep Neural Network

Mohsin Ashraf et al.

Summary: Music, as the best medium for expressing emotions, has a close relationship with emotions. This study utilizes deep learning techniques to explore the unique ways in which different instrument classes express emotions in music. By combining MFCC characteristics with deep RNN for emotion recognition, a significant impact of instrument class on the emotions evoked by music is demonstrated.

2021 INTERNATIONAL CONFERENCE ON FRONTIERS OF INFORMATION TECHNOLOGY (FIT 2021) (2021)

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Article Computer Science, Information Systems