Exploring Music Genre Classification: Algorithm Analysis and Deployment Architecture Article Swipe
YOU?
·
· 2023
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2309.04861
Music genre classification has become increasingly critical with the advent of various streaming applications. Nowadays, we find it impossible to imagine using the artist's name and song title to search for music in a sophisticated music app. It is always difficult to classify music correctly because the information linked to music, such as region, artist, album, or non-album, is so variable. This paper presents a study on music genre classification using a combination of Digital Signal Processing (DSP) and Deep Learning (DL) techniques. A novel algorithm is proposed that utilizes both DSP and DL methods to extract relevant features from audio signals and classify them into various genres. The algorithm was tested on the GTZAN dataset and achieved high accuracy. An end-to-end deployment architecture is also proposed for integration into music-related applications. The performance of the algorithm is analyzed and future directions for improvement are discussed. The proposed DSP and DL-based music genre classification algorithm and deployment architecture demonstrate a promising approach for music genre classification.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2309.04861
- https://arxiv.org/pdf/2309.04861
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386694273
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386694273Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2309.04861Digital Object Identifier
- Title
-
Exploring Music Genre Classification: Algorithm Analysis and Deployment ArchitectureWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-09Full publication date if available
- Authors
-
Ayan Biswas, Supriya Dhabal, P. VenkateswaranList of authors in order
- Landing page
-
https://arxiv.org/abs/2309.04861Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2309.04861Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2309.04861Direct OA link when available
- Concepts
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Computer science, Software deployment, Architecture, Digital signal processing, Digital audio, Artificial intelligence, Algorithm, Speech recognition, Audio signal, Machine learning, Computer hardware, Art, Visual arts, Software engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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