Multimodal classification research has been gaining popularity with new datasets in
domains such as satellite imagery, biometrics, and medicine. Prior research has shown the …

In recent times, BERT based transformer models have become an inseparable part of
the'tech stack'of text processing models. Similar progress is being observed in the speech …

Transformer models across multiple domains such as natural language processing and
speech form an unavoidable part of the tech stack of practitioners and researchers alike. Au …

In the field of music information retrieval (MIR), cover song identification (CSI) is a
challenging task that aims to identify cover versions of a query song from a massive …

Driven by recent advancements in Extended Reality (XR), the hype around the Metaverse,
and real‐time computer graphics, the transformation of the performing arts, particularly in …

Music transcription, which deals with the conversion of music sources into a structured
digital format, is a key problem for Music Information Retrieval (MIR). When addressing this …

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 …

Film music varies tremendously across genre in order to bring about different responses in
an audience. For instance, composers may evoke passion in a romantic scene with lush …

HuQin is a family of traditional Chinese bowed string instruments. Playing techniques (PTs)
embodied in various playing styles add abundant emotional coloring and aesthetic feelings …