Multi-view multi-label learning with high-order label correlation
B Liu, W Li, Y Xiao, X Chen, L Liu, C Liu, K Wang… - Information …, 2023 - Elsevier
Multi-label learning deals with a kind of problem that the given samples areassociated with
multiple labels simultaneously. Recently, multi-label learning has become a populartopic in …
multiple labels simultaneously. Recently, multi-label learning has become a populartopic in …
Multimodal knowledge graph construction of Chinese traditional operas and sentiment and genre recognition
The advancement of digital technologies promotes the documentation of traditional operas,
leaving a large amount of data but in a state of fragmentation. Constructing a knowledge …
leaving a large amount of data but in a state of fragmentation. Constructing a knowledge …
GlocalEmoNet: An optimized neural network for music emotion classification and segmentation using timbre and chroma features
YR Pandeya, J Lee - Multimedia Tools and Applications, 2024 - Springer
Music is a powerful language capable of eliciting a variety of emotions in individuals.
Understanding and recognizing these emotions is pivotal for applications ranging from …
Understanding and recognizing these emotions is pivotal for applications ranging from …
Improving music genre classification from multi-modal properties of music and genre correlations perspective
G Ru, X Zhang, J Wang, N Cheng… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Music genre classification has been widely studied in past few years for its various
applications in music information retrieval. Previous works tend to perform unsatisfactorily …
applications in music information retrieval. Previous works tend to perform unsatisfactorily …
Hit song prediction system based on audio and lyrics embeddings
E Castelli - 2022 - politesi.polimi.it
Nowadays, thanks to web platforms, a great amount of new songs are released every day.
Hit Song Prediction (HSP) is a field of Music Information Retrieval that aims to investigate …
Hit Song Prediction (HSP) is a field of Music Information Retrieval that aims to investigate …