サインイン
インサイト - Music Genre Classification
Exploring Jukebox: A Novel Audio Representation for Music Genre Identification in MIR
This study explores the potential of deep vector quantization (VQ)-based audio representations, as used in the Jukebox model, for music genre identification tasks, and compares their performance to the well-established Mel spectrogram approach.
A Comparative Study of Large Language Models and Traditional Architectures for Zero-Shot Music Genre Classification
Large language models (LLMs) show promise for music genre classification (MGC) in a zero-shot setting, particularly WavLM, but the audio spectrogram transformer (AST) model currently outperforms all others, highlighting the strength of transformer architectures in music information retrieval.
