Music Genre Recognition Using Gabor Filters and LPQ Texture Descriptors
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Some recent methods in acoustic processing use Gabor-filter banks on sound spectra as a preprocessing step and achieve accurate results on acoustic processing tasks such as classification of environmental sounds, music genre recognition, and speech analysis.
“some recent methods in acoustic processing use Gabor-filter banks on the sound spectra as a preprocessing step, achieving accurate results on acoustic processing tasks, such as the classification of environmental sounds [41], music genre recognition [42], and speech analysis [43,44], to cite a few”
From A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance (2022) · cites this paper as [42]
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Domingos, L. C. F., Santos, P. E., Skelton, P. S. M., Brinkworth, R. S. A., & Sammut, K. (2022) · Sensors · doi:10.3390/s22062181 · Cited by 93 · see citing works
“on acoustic processing tasks, such as the classification of environmental sounds [41], music genre recognition [42], and speech analysis [43,44], to cite a few.”
BackgroundBird and whale species identification using sound images
Nanni, L., Aguiar, R. L., Costa, Y. M. G., Brahnam, S., Silla, C. N., Brattin, R. L., & Zhao, Z. (2018) · IET Computer Vision · doi:10.1049/iet-cvi.2017.0075 · Cited by 22 · see citing works
Self-citation
- Authors
- Costa, Y., Oliveira, L., Koerich, A., & Gouyon, F.
- Affiliations
- Universidade Estadual de Maringá (BR)
- Universidade Federal do Paraná (BR)
- Pontifícia Universidade Católica do Paraná (BR)
- INESC TEC (PT)
- Corresponding author
- Oliveira, Luiz
- Koerich, Alessandro
- Gouyon, Fabien
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2013
- Pages
- 67-74
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W73877600
- Cited by
- 35
- References
- 0
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 5 · 2021: 2 · 2020: 4 · 2019: 2 · 2018: 2 · 2017: 3 · 2016: 7 · 2015: 5 · 2014: 1 · 2013: 1
- FWCI
- 3.89
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Espace ÉTS (ETS) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Music Technology and Sound Studies
- Keywords
- music genre classification, Gabor filters, spectrogram, texture features, local feature extraction, support vector machine classification
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