Add to ORKGThis 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
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...
An increasing number of radio stations nowadays opts for market research on audience shares and musi...
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...
In this thesis we focus on the discovery of repeated patterns in music, one of the tasks in the rese...
In this work we introduce an upgrade of compositional hierarchical model for repated pattern discove...
This thesis presents a new dataset of perceived and induced emotions for 200 audio clips. The gather...
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...
In recent years, deep architectures, most commonly based on neural networks, have advanced the stat...
Kompozicionalni hierarhični model je globoka arhitektura, ki jo odlikuje transparentnost, eksplicitn...
This BSc thesis describes the means of generating music sequences using an agent-based model. As a r...
In a recent study on Lyrics Music Emotion Recognition a new set of features was proposed. These new ...
The thesis offers an implementation of a new approach for automatic modelling and music information ...
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...
An increasing number of radio stations nowadays opts for market research on audience shares and musi...
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...
In this thesis we focus on the discovery of repeated patterns in music, one of the tasks in the rese...
In this work we introduce an upgrade of compositional hierarchical model for repated pattern discove...
This thesis presents a new dataset of perceived and induced emotions for 200 audio clips. The gather...
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...
In recent years, deep architectures, most commonly based on neural networks, have advanced the stat...
Kompozicionalni hierarhični model je globoka arhitektura, ki jo odlikuje transparentnost, eksplicitn...
This BSc thesis describes the means of generating music sequences using an agent-based model. As a r...
In a recent study on Lyrics Music Emotion Recognition a new set of features was proposed. These new ...
The thesis offers an implementation of a new approach for automatic modelling and music information ...
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...
An increasing number of radio stations nowadays opts for market research on audience shares and musi...