A survey of audio-based music classification and annotation
Music information retrieval (MIR) is an emerging research area that receives growing
attention from both the research community and music industry. It addresses the problem of …
attention from both the research community and music industry. It addresses the problem of …
Content-based music information retrieval (cb-mir) and its applications toward the music industry: A review
A huge increase in the number of digital music tracks has created the necessity to develop
an automated tool to extract the useful information from these tracks. As this information has …
an automated tool to extract the useful information from these tracks. As this information has …
CM-GANs: Cross-modal generative adversarial networks for common representation learning
It is known that the inconsistent distributions and representations of different modalities, such
as image and text, cause the heterogeneity gap, which makes it very challenging to correlate …
as image and text, cause the heterogeneity gap, which makes it very challenging to correlate …
An evaluation of convolutional neural networks for music classification using spectrograms
Music genre recognition based on visual representation has been successfully explored
over the last years. Classifiers trained with textural descriptors (eg, Local Binary Patterns …
over the last years. Classifiers trained with textural descriptors (eg, Local Binary Patterns …
Gammatone cepstral coefficients: Biologically inspired features for non-speech audio classification
In the context of non-speech audio recognition and classification for multimedia applications,
it becomes essential to have a set of features able to accurately represent and discriminate …
it becomes essential to have a set of features able to accurately represent and discriminate …
The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use
BL Sturm - ar** a whole process that takes the input as the …