As one of the most intuitive interfaces known to humans, natural language has the potential
to mediate many tasks that involve human-computer interaction, especially in application …

This paper introduces effective design choices for text-to-music retrieval systems. An ideal
text-based retrieval system would support various input queries such as pre-defined tags …

The term “multimodal music dataset” is often used to describe music-related datasets that
represent music as a multimedia art form and multimodal experience. However, the term …

Learning how to represent data represented by features obtained from multiple modalities
through representation learning strategies has received much attention in Music Information …

In this paper we propose lyrics information processing (LIP) as a research field for
technologies focusing on lyrics text, which has both linguistic and musical characteristics …

Recent advances in audio-text cross-modal contrastive learning have shown its potential
towards zero-shot learning. One possibility for this is by projecting item embeddings from pre …

This paper addresses the novel task of detecting chorus sections in English and Japanese
lyrics text. Although chorus-section detection using audio signals has been studied, whether …

Music streaming platforms rely on recommending similar artists to maintain user
engagement, with artists benefiting from these suggestions to boost their popularity. Another …

Word embedding has become an essential means for text-based information retrieval.
Typically, word embeddings are learned from large quantities of general and unstructured …

Music information is often conveyed or recorded across multiple data modalities including
but not limited to audio, images, text and scores. However, music information retrieval …