This thesis focuses on the field of music information retrieval. We present the compositional hierarchical model for music information retrieval and evaluate it on the task of multiple fundamental frequency estimation on publicly available MAPS dataset. We evaluate the robustness of the model by varying the parameters of the model and analyse the results through graphical visualizations of model's provided hypotheses. Additionally, we provide improvements to the results through the analysis of the model's output
In recent years, deep architectures, most commonly based on neural networks, have advanced the stat...
Technological advances in the last few years allowed users easier access and listening to large amou...
U ovome radu modeliramo pojavnost endemske nefropatije logističkom regresijom. Promatramo modele nas...
This thesis focuses on the field of music information retrieval. We present the compositional hierar...
This thesis provides a tool for visualization and analysis of music recordings using compositional h...
V magistrski nalogi se posvetimo iskanju ponavljajočih vzorcev v glasbi, kar spada na področje prido...
V delu predstavimo nadgradnjo kompozicionalnega hierarhičnega modela za odkrivanje ponavljajočih vzo...
This thesis presents a new dataset of perceived and induced emotions for 200 audio clips. The gather...
This BSc thesis describes the means of generating music sequences using an agent-based model. As a r...
It happens quite often that someone sits down in front of a piano or takes another instrument and tr...
The thesis focuses on the visualization of a collection of sound recordings by the criterion of mutu...
Transcription of music is a complex process of transcribing an audio recording into a symbolic notat...
In today's world, the reliability of a prediction is very important, especially in areas such as hea...
In a recent study on Lyrics Music Emotion Recognition a new set of features was proposed. These new ...
The purpose of this thesis is to design and elaborate web application, which will provide tools for ...
In recent years, deep architectures, most commonly based on neural networks, have advanced the stat...
Technological advances in the last few years allowed users easier access and listening to large amou...
U ovome radu modeliramo pojavnost endemske nefropatije logističkom regresijom. Promatramo modele nas...
This thesis focuses on the field of music information retrieval. We present the compositional hierar...
This thesis provides a tool for visualization and analysis of music recordings using compositional h...
V magistrski nalogi se posvetimo iskanju ponavljajočih vzorcev v glasbi, kar spada na področje prido...
V delu predstavimo nadgradnjo kompozicionalnega hierarhičnega modela za odkrivanje ponavljajočih vzo...
This thesis presents a new dataset of perceived and induced emotions for 200 audio clips. The gather...
This BSc thesis describes the means of generating music sequences using an agent-based model. As a r...
It happens quite often that someone sits down in front of a piano or takes another instrument and tr...
The thesis focuses on the visualization of a collection of sound recordings by the criterion of mutu...
Transcription of music is a complex process of transcribing an audio recording into a symbolic notat...
In today's world, the reliability of a prediction is very important, especially in areas such as hea...
In a recent study on Lyrics Music Emotion Recognition a new set of features was proposed. These new ...
The purpose of this thesis is to design and elaborate web application, which will provide tools for ...
In recent years, deep architectures, most commonly based on neural networks, have advanced the stat...
Technological advances in the last few years allowed users easier access and listening to large amou...
U ovome radu modeliramo pojavnost endemske nefropatije logističkom regresijom. Promatramo modele nas...