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 …

With its origins in Information Retrieval research, a fundamental goal of Music Information
Retrieval (MIR) as a dedicated research field in the year 2000 was to develop technology to …

Singing, the vocal productionof musical tones, is one of the most important elements of
music. Addressing the needs of real-world applications, the study of technologies related to …

This early example of neural synthesis is a proof-of-concept for how machine learning can
drive new types of music software. Creating music can be as simple as specifying a set of …

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 …

This paper presents Query-by-Blending, a novel music exploration system that enables
users to find unfamiliar music content by flexibly combining three musical aspects: lyric word …

The performance of music auto-tagging depends on the quality of training data. In practice,
the links between songs and tags in the manually labeled training data can be incorrect …

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 …

Providing means to assist the user in finding music is one of the original motivations
underlying the research field known as Music Information Retrieval (MIR). Therefore, already …

When a user listens to a song for the first time, what musical factors (eg, melody, tempo, and
lyrics) influence the user's decision to like or dislike the song? An answer to this question …