Instrument sound classification using a music-based feature extraction model inspired by Mozart's Turkish March pattern

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 118, P. 354 - 370

Published: Jan. 23, 2025

Language: Английский

Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network

ACM transactions on office information systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 29, 2025

Music recommender systems play a critical role in music streaming platforms by providing users with that they are likely to enjoy. Recent studies have shown user emotions can influence users’ preferences for moods. However, existing emotion-aware (EMRSs) explicitly or implicitly assume actual emotional states expressed through identical words homogeneous. They also mood homogeneous under the same state. In this article, we propose four types of heterogeneity an EMRS should account for: emotion across users, within user, preference and user. We further Heterogeneity-aware Deep Bayesian Network (HDBN) model these assumptions. The HDBN mimics user’s decision process choosing components: personalized prior distribution modeling, posterior grouping, neural network-based prediction. constructed two datasets, called EmoMusicLJ EmoMusicLJ-small, validate our method. Extensive experiments demonstrate method significantly outperforms baseline approaches on metrics HR, Precision, NDCG, MRR. Ablation case effectiveness HDBN. source code datasets available at https://github.com/jingrk/HDBN .

Language: Английский

Poster Abstract: Wear2Rec: An IoT-Driven Context-Aware Music Recommendation

Published: May 4, 2025

Language: Английский