Accelerated construction of stress relief music datasets using CNN and the Mel-scaled spectrogram
Listening to music is a crucial tool for relieving stress and promoting relaxation. However,
the limited options available for stress-relief music do not cater to individual preferences …
the limited options available for stress-relief music do not cater to individual preferences …
Large-scale music genre analysis and classification using machine learning with apache spark
M Chaudhury, A Karami, MA Ghazanfar - Electronics, 2022 - mdpi.com
The trend for listening to music online has greatly increased over the past decade due to the
number of online musical tracks. The large music databases of music libraries that are …
number of online musical tracks. The large music databases of music libraries that are …
Residual LSTM neural network for time dependent consecutive pitch string recognition from spectrograms: a study on Turkish classical music makams
Turkish classical music, characterized by 'makam', specific melodic configurations
delineated by sequential pitches and intervals, is rich in cultural significance and poses a …
delineated by sequential pitches and intervals, is rich in cultural significance and poses a …
Hierarchical mining with complex networks for music genre classification
AEC Salazar - Digital Signal Processing, 2022 - Elsevier
Music genre is an important feature to identify a musical work. Thus, it is the most used label
to organize musical datasets. However, this label is not always available and its …
to organize musical datasets. However, this label is not always available and its …
Deep Learning-Based Joint Channel Equalization and Symbol Detection for Air-Water Optoacoustic Communications
The optoacoustic effect is triggered by directing an optical signal in the air (using laser) to
the surface of water, leading to the generation of a corresponding acoustic signal inside the …
the surface of water, leading to the generation of a corresponding acoustic signal inside the …
A Critical Survey of Research in Music Genre Recognition
This paper surveys 560 publications about music genre recognition (MGR) published
between 2013–2022, complementing the comprehensive survey of [474], which covered the …
between 2013–2022, complementing the comprehensive survey of [474], which covered the …
A short survey and comparison of cnn-based music genre classification using multiple spectral features
The goal of music genre classification is to identify the genre of given feature vectors
representing certain characteristics of music clips. In addition, to improve the accuracy of …
representing certain characteristics of music clips. In addition, to improve the accuracy of …
Deep transfer learning-based bird species classification using mel spectrogram images
The classification of bird species is of significant importance in the field of ornithology, as it
plays an important role in assessing and monitoring environmental dynamics, including …
plays an important role in assessing and monitoring environmental dynamics, including …
Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis
In the context of rapid urbanization, urban foresters are actively seeking management
monitoring programs that address the challenges of urban biodiversity loss. Passive …
monitoring programs that address the challenges of urban biodiversity loss. Passive …
Multimodal Music Genre Classification of Sotho-Tswana Musical Videos
OE Oguike, M Primus - IEEE Access, 2025 - ieeexplore.ieee.org
Music genre classification is a fundamental task within the domain of music information
retrieval, aimed at discerning the categorical placement, or genre, of a given musical piece …
retrieval, aimed at discerning the categorical placement, or genre, of a given musical piece …