Genre Classification Empowered by Knowledge-Embedded Music Representation
This paper introduces a pioneering framework for music representation learning, which
harnesses knowledge graph embeddings to enrich genre classification. Leveraging …
harnesses knowledge graph embeddings to enrich genre classification. Leveraging …
AMG-Embedding: A Self-Supervised Embedding Approach for Audio Identification
Audio Identification aims to precisely retrieve exact matches from a vast music repository
through a query audio snippet. The need for specificity and granularity has traditionally led …
through a query audio snippet. The need for specificity and granularity has traditionally led …
Self-supervised learning of musical representations using VICReg; a comprehensive study of the VICReg loss function for self-supervised representation learning in …
C Hesse, S Löf - 2023 - odr.chalmers.se
Self-supervised learning has emerged as a promising method for learning informative
representations suitable for many machine learning tasks. However, while selfsupervised …
representations suitable for many machine learning tasks. However, while selfsupervised …
Contrastive Learning based Speech Spoofing Detection for Multimedia Security in Edge Intelligence
Artificial intelligence (AI) empowered edge computing has given rise to a new paradigm and
effectively facilitated the promotion and development of multimedia applications. The speech …
effectively facilitated the promotion and development of multimedia applications. The speech …