Metaverse is an interactive world that combines reality and virtuality, where participants can
be virtual avatars. Anyone can hold a concert in a virtual concert hall, and users can quickly …

This study introduces self-supervised contrastive learning to acquire feature representations
of singing voices. To acquire robust representations in an unsupervised manner, regular self …

This paper provides a guide through the FMP notebooks, a comprehensive collection of
educational material for teaching and learning fundamentals of music processing (FMP) with …

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 …

Metaverse has stretched the real world into unlimited space. There will be more live concerts
in Metaverse. The task of singer identification is to identify the song belongs to which singer …

To compliment the existing set of datasets, we present a small dataset entitled vocadito,
consisting of 40 short excerpts of monophonic singing, sung in 7 different languages by …

Singing techniques are used for expressive vocal performances by employing temporal
fluctuations of the timbre, the pitch, and other components of the voice. Their classification is …

Identifying singers is an important task with many applications. However, the task remains
challenging due to many issues. One major issue is related to the confounding factors from …

Previous approaches in singer identification have used one of monophonic vocal tracks or
mixed tracks containing multiple instruments, leaving a semantic gap between these two …

Singing voice is a key sound source in popular music. As recent music streaming and
entertainment services call for more intelligent solutions to retrieve songs or evaluate …