Research

Western folk music has in most cases simple structure, which usually consists of single repeated melodic part - stanza. As part of our research we developed an automatic segmentation approach. We use this approach also…

We developed a new hierarchical approach in a form of a compositional hierarchical model for music information retrieval. The CHM was applied to spectral domain and used in automated chord estimation and multiple fundamental frequency…

We are exploring automatic segmentation and labeling of ethnomusicological field recordings. Field recordings are integral documents of folk music performances and typically contain interviews with performers intertwined with actual performances. As these are live recordings of amateur…

Transcription of music could be defined as an act of listening to a piece of music and writing down music notation for the piece. Transcription of polyphonic music (polyphonic pitch recognition) converts an acoustical waveform…

The mood and music project connects researchers from the fields of music information retrieval (MIR), human-computer interaction (HCI), psychology and cognitive science.

We are exploring automatic transcription of bell chiming recordins. Bell chiming is a Slovenian folk music tradition involving performers playing tunes on church bells by holding the clapper and striking the rim of a stationary bell. The…

Searching audio collections using high-level musical descriptors is a difficult problem, due to the lack of reliable methods for extracting melody, harmony, rhythm, and other such descriptors from unstructured audio signals. Our goal is to…

Extracting melody from audio recordings is a difficult and important research problem, because melody is one of the most important descriptors of (Western) music. Successful audio melody extraction would bridge the gap between a large…

Volumetric data is nowadays available for many scientific and engineering fields, such as medicine, astronomy, geodesy, geology, meteorology etc. As part of our research we are mostly addressing visualization of medical volumetric data.

We are exploring how different input devices can be effectively used in 3D visualizations and have also developed new interactive UIs that can capture complex feedback in online surveys in an engaging way.